SenseOn is looking for a Security Engineer to sit at the intersection of security engineering, software development, and customer success. This is one of the broadest and most impactful technical roles in the business, you will be the person who makes SenseOn work, in the real world, for real customers. You will embed directly with customers to deploy and configure the SenseOn platform, develop custom integrations, and ensure that every customer derives measurable security value as quickly as possible. You will own the technical outcome, supporting technical sales and working on technical delivery to enable SenseOn to be effective. This is not a pre-sales or demo role. You support both new business engagements and existing customer renewals, providing the technical depth to prove and quantify the value SenseOn delivers and ensuring that as deployments grow more complex with expanded log ingestion, customers always feel in safe hands. You will report to the VP of Technology and work closely with the Security Operations, Customer Success, Sales Engineering, and Product teams. Location: UK Travel: Approx 25% to customer sites Experience: 3 to 6 years+ The Role in Detail You will own the full technical lifecycle of a customer deployment, from initial architecture review through to live production, ongoing integration development, and long-term platform health. You will build cloud integrations. You will write and tune detection rules in SIEMs. You will debug customer environments. And you will ensure that every customer you touch becomes a SenseOn advocate. Your impact does not stop at deployment. As SenseOn's log ingestion capability grows and deployments become more complex and wide ranging, you will work with the Customer Success team to build the technical business cases that win renewals and drive expansion bringing the same engineering rigour to proving value as you do to deploying it. Responsibilities Customer Deployment & Technical Success Lead end-to-end SenseOn platform deployments and complex log ingestion rollouts without customer disruption. Conduct architectural reviews to define deployment strategies and identify integration opportunities. Own the post-sale technical relationship into steady-state operations, delivering against technical success criteria tied to quantifiable security outcomes. Travel to UK and international customer sites approximately 25% of the time. Renewal Support & Customer Value Quantification Provide the technical evidence base and build business cases for renewals and expansions, translating platform telemetry and incident response data into clear customer outcomes. Proactively health-check environments, close technical gaps, and resolve visibility issues ahead of renewal conversations. Collaborate with Sales Engineering to ensure continuity from pre-sale technical validation through to post-sale deployment. Software Development & Integration Engineering Write production-quality software to build and maintain integrations across third-party security tools, SIEMs, identity platforms, and AWS, Azure, and GCP environments. Contribute reusable connectors to the SenseOn integration library and create custom automation to optimise security operations workflows. Work confidently across backend languages (Python preferred; Go, JavaScript, and Bash valued) utilising RESTful APIs, webhooks, and data pipeline patterns. Detection Engineering & SIEM Development Write, tune, and maintain high-fidelity, low-noise SIEM detection rules by translating threat intelligence and attacker behaviour. Map coverage to the MITRE ATT&CK framework to address visibility gaps, and develop new detection logic with Security Operations. Iterate on rules post-deployment to reduce false positives, and provide expert guidance to customers regarding their detection strategy and risk posture. Customer Success & Relationship Management Develop deep relationships with customer security leadership, acting as a trusted adviser across their security architecture. Proactively mitigate adoption risks, resolve deployment blockers, and conduct structured onboarding from platform fundamentals to advanced threat hunting. Monitor deployed environment health, address technical drift, and translate field experience into actionable product feedback internally. Pre-Sales & Proof of Value Support Partner with Sales Engineering on Proof of Value (POV) engagements, providing technical credibility to differentiate SenseOn. Contribute to bespoke technical demonstrations, architecture proposals, and solution designs for complex prospects transitioning from legacy platforms or traditional SIEM solutions. Product & Analytics Feedback Act as a direct conduit between the field and product teams, raising well-evidenced bugs, feature requests, and detection improvements. Participate in User Acceptance Testing (UAT) for new platform releases to provide field-informed quality assurance. Identify cross-environment patterns to highlight new detection opportunities or platform capability gaps for the analytics backlog. Essential 3-6 years of experience in a technical cybersecurity role, ideally spanning Security Operations and an engineering or customer facing function. Demonstrable software development capability, you must be able to write, review, and deploy code in a production context. Python is strongly preferred. Proven ability to write and tune detection rules in one or more SIEM platforms (e.g. Splunk, Microsoft Sentinel, Elastic, QRadar). You are comfortable translating threat scenarios into detection logic and iterating on rule quality based on operational feedback. Hands-on experience building and troubleshooting integrations with cloud platforms (AWS, Azure, or GCP), REST APIs, and common security tooling including SIEMs, EDRs, XDRs, and NDRs. Strong understanding of networking fundamentals, operating systems (Windows and Linux), and identity and access management concepts. Experience deploying or operating software in containerised environments (Docker, Kubernetes). Excellent written and verbal communication skills, with the ability to engage credibly with both technical engineers and non-technical stakeholders up to C-level. Based in the United Kingdom with the right to work in the UK. Highly Desirable Experience supporting customer renewal engagements from a technical perspective - building business cases, evidencing value, and closing coverage gaps ahead of renewal conversations. Familiarity with log ingestion at scale, including the operational and architectural challenges of onboarding diverse log sources across complex enterprise environments. Experience with CI/CD pipelines, Infrastructure-as-Code (Terraform, Ansible), and modern DevSecOps practices. Exposure to machine learning or AI-driven security analytics platforms. Relevant industry certifications such as CISSP, AWS Solutions Architect, GCIH, or equivalent. Experience supporting or replacing incumbent security platforms (e.g. Darktrace, CrowdStrike, Splunk) within enterprise customer transitions. What Success Looks Like Within your first 90 days, you will have completed at least one end-to-end customer deployment, established yourself as the technical lead for a portfolio of accounts, and shipped at least one integration adopted by a customer in production. Within 6 months, you will be leading complex multi-environment deployments independently, supporting renewal engagements with clear technical business cases, and have contributed meaningful detection rules and integrations to SenseOn's shared library. Within 12 months, you will be shaping how SenseOn approaches deployment and customer value quantification at scale, informing product roadmap decisions, mentoring more junior team members, and owning the technical success of some of SenseOn's most strategic accounts. What We Offer Competitive salary commensurate with experience Unlimited holiday allowance Hybrid working model with flexibility around customer commitments Bi-annual career progression review Personal learning and development budget MacBook and all necessary tooling provided Enhanced pension scheme Private healthcare through Vitality, with rewards and discounts Belong at SenseOn At SenseOn, we define Talent as employees who are customer obsessed and pursuing excellence. They are courageous, good people, doing good things, powering our mission. If this resonates with you, then you will always belong. Nothing else matters. We are an Equal Opportunity Employer and do not discriminate against any qualified employee or applicant. Difference is what makes us stronger.
Apr 12, 2026
Full time
SenseOn is looking for a Security Engineer to sit at the intersection of security engineering, software development, and customer success. This is one of the broadest and most impactful technical roles in the business, you will be the person who makes SenseOn work, in the real world, for real customers. You will embed directly with customers to deploy and configure the SenseOn platform, develop custom integrations, and ensure that every customer derives measurable security value as quickly as possible. You will own the technical outcome, supporting technical sales and working on technical delivery to enable SenseOn to be effective. This is not a pre-sales or demo role. You support both new business engagements and existing customer renewals, providing the technical depth to prove and quantify the value SenseOn delivers and ensuring that as deployments grow more complex with expanded log ingestion, customers always feel in safe hands. You will report to the VP of Technology and work closely with the Security Operations, Customer Success, Sales Engineering, and Product teams. Location: UK Travel: Approx 25% to customer sites Experience: 3 to 6 years+ The Role in Detail You will own the full technical lifecycle of a customer deployment, from initial architecture review through to live production, ongoing integration development, and long-term platform health. You will build cloud integrations. You will write and tune detection rules in SIEMs. You will debug customer environments. And you will ensure that every customer you touch becomes a SenseOn advocate. Your impact does not stop at deployment. As SenseOn's log ingestion capability grows and deployments become more complex and wide ranging, you will work with the Customer Success team to build the technical business cases that win renewals and drive expansion bringing the same engineering rigour to proving value as you do to deploying it. Responsibilities Customer Deployment & Technical Success Lead end-to-end SenseOn platform deployments and complex log ingestion rollouts without customer disruption. Conduct architectural reviews to define deployment strategies and identify integration opportunities. Own the post-sale technical relationship into steady-state operations, delivering against technical success criteria tied to quantifiable security outcomes. Travel to UK and international customer sites approximately 25% of the time. Renewal Support & Customer Value Quantification Provide the technical evidence base and build business cases for renewals and expansions, translating platform telemetry and incident response data into clear customer outcomes. Proactively health-check environments, close technical gaps, and resolve visibility issues ahead of renewal conversations. Collaborate with Sales Engineering to ensure continuity from pre-sale technical validation through to post-sale deployment. Software Development & Integration Engineering Write production-quality software to build and maintain integrations across third-party security tools, SIEMs, identity platforms, and AWS, Azure, and GCP environments. Contribute reusable connectors to the SenseOn integration library and create custom automation to optimise security operations workflows. Work confidently across backend languages (Python preferred; Go, JavaScript, and Bash valued) utilising RESTful APIs, webhooks, and data pipeline patterns. Detection Engineering & SIEM Development Write, tune, and maintain high-fidelity, low-noise SIEM detection rules by translating threat intelligence and attacker behaviour. Map coverage to the MITRE ATT&CK framework to address visibility gaps, and develop new detection logic with Security Operations. Iterate on rules post-deployment to reduce false positives, and provide expert guidance to customers regarding their detection strategy and risk posture. Customer Success & Relationship Management Develop deep relationships with customer security leadership, acting as a trusted adviser across their security architecture. Proactively mitigate adoption risks, resolve deployment blockers, and conduct structured onboarding from platform fundamentals to advanced threat hunting. Monitor deployed environment health, address technical drift, and translate field experience into actionable product feedback internally. Pre-Sales & Proof of Value Support Partner with Sales Engineering on Proof of Value (POV) engagements, providing technical credibility to differentiate SenseOn. Contribute to bespoke technical demonstrations, architecture proposals, and solution designs for complex prospects transitioning from legacy platforms or traditional SIEM solutions. Product & Analytics Feedback Act as a direct conduit between the field and product teams, raising well-evidenced bugs, feature requests, and detection improvements. Participate in User Acceptance Testing (UAT) for new platform releases to provide field-informed quality assurance. Identify cross-environment patterns to highlight new detection opportunities or platform capability gaps for the analytics backlog. Essential 3-6 years of experience in a technical cybersecurity role, ideally spanning Security Operations and an engineering or customer facing function. Demonstrable software development capability, you must be able to write, review, and deploy code in a production context. Python is strongly preferred. Proven ability to write and tune detection rules in one or more SIEM platforms (e.g. Splunk, Microsoft Sentinel, Elastic, QRadar). You are comfortable translating threat scenarios into detection logic and iterating on rule quality based on operational feedback. Hands-on experience building and troubleshooting integrations with cloud platforms (AWS, Azure, or GCP), REST APIs, and common security tooling including SIEMs, EDRs, XDRs, and NDRs. Strong understanding of networking fundamentals, operating systems (Windows and Linux), and identity and access management concepts. Experience deploying or operating software in containerised environments (Docker, Kubernetes). Excellent written and verbal communication skills, with the ability to engage credibly with both technical engineers and non-technical stakeholders up to C-level. Based in the United Kingdom with the right to work in the UK. Highly Desirable Experience supporting customer renewal engagements from a technical perspective - building business cases, evidencing value, and closing coverage gaps ahead of renewal conversations. Familiarity with log ingestion at scale, including the operational and architectural challenges of onboarding diverse log sources across complex enterprise environments. Experience with CI/CD pipelines, Infrastructure-as-Code (Terraform, Ansible), and modern DevSecOps practices. Exposure to machine learning or AI-driven security analytics platforms. Relevant industry certifications such as CISSP, AWS Solutions Architect, GCIH, or equivalent. Experience supporting or replacing incumbent security platforms (e.g. Darktrace, CrowdStrike, Splunk) within enterprise customer transitions. What Success Looks Like Within your first 90 days, you will have completed at least one end-to-end customer deployment, established yourself as the technical lead for a portfolio of accounts, and shipped at least one integration adopted by a customer in production. Within 6 months, you will be leading complex multi-environment deployments independently, supporting renewal engagements with clear technical business cases, and have contributed meaningful detection rules and integrations to SenseOn's shared library. Within 12 months, you will be shaping how SenseOn approaches deployment and customer value quantification at scale, informing product roadmap decisions, mentoring more junior team members, and owning the technical success of some of SenseOn's most strategic accounts. What We Offer Competitive salary commensurate with experience Unlimited holiday allowance Hybrid working model with flexibility around customer commitments Bi-annual career progression review Personal learning and development budget MacBook and all necessary tooling provided Enhanced pension scheme Private healthcare through Vitality, with rewards and discounts Belong at SenseOn At SenseOn, we define Talent as employees who are customer obsessed and pursuing excellence. They are courageous, good people, doing good things, powering our mission. If this resonates with you, then you will always belong. Nothing else matters. We are an Equal Opportunity Employer and do not discriminate against any qualified employee or applicant. Difference is what makes us stronger.
White Collar Factory (95009), United Kingdom, London, London Staff Software Engineer - Back End About this role Do you love shaping the technical landscape and driving innovation across the organisation? Are you passionate about solving complex business problems and supporting multiple teams toward a shared technical vision? At Capital One, you'll be part of a community of technical leaders who drive engineering excellence, foster innovation, and deliver impactful solutions that meet real customer needs. What You'll Do Own and drive the technical strategy for a significant business outcome or technology domain, spanning multiple teams and influencing the overall technical direction Lead and coordinate the efforts of multiple teams, ensuring their collective work aligns with broader business objectives and technology strategy Proactively identify emerging patterns, define and evangelise best practices, and establish reusable frameworks that enhance engineering productivity Build and maintain strong relationships with key stakeholders, including senior leadership, product owners, and architects Represent Capital One in external technical forums, contributing to vendor/industry discussions Drive service quality standards and practices for your domain, guiding complex incident resolution Develop and advocate for strategies to proactively manage technical debt across multiple teams Actively mentor and develop engineers, fostering a culture of continuous learning What we're looking for Deep expertise in Java Deep expertise in system design and distributed architectures Track record of leading technical initiatives across multiple teams Strong experience with cloud platforms (AWS, Azure, GCP) Proven experience setting a multi-team technical vision and strategy Strong track record of technical leadership and influence without authority Experience driving engineering standards and best practices across organisations Experience of steering Communities of Practice or technical forums Strong business acumen and ability to translate technical concepts for various audiences Where and how you'll work This is a permanent position based in our London office. We have a hybrid working model which gives you flexibility to work from our office and from home. We're big on collaboration and connection, so you'll be based in our London office 3 days a week on Tuesdays, Wednesdays and Thursdays. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Enabled - focused on supporting associates with disabilities and neurodiversity Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We AreAt Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to b
Apr 12, 2026
Full time
White Collar Factory (95009), United Kingdom, London, London Staff Software Engineer - Back End About this role Do you love shaping the technical landscape and driving innovation across the organisation? Are you passionate about solving complex business problems and supporting multiple teams toward a shared technical vision? At Capital One, you'll be part of a community of technical leaders who drive engineering excellence, foster innovation, and deliver impactful solutions that meet real customer needs. What You'll Do Own and drive the technical strategy for a significant business outcome or technology domain, spanning multiple teams and influencing the overall technical direction Lead and coordinate the efforts of multiple teams, ensuring their collective work aligns with broader business objectives and technology strategy Proactively identify emerging patterns, define and evangelise best practices, and establish reusable frameworks that enhance engineering productivity Build and maintain strong relationships with key stakeholders, including senior leadership, product owners, and architects Represent Capital One in external technical forums, contributing to vendor/industry discussions Drive service quality standards and practices for your domain, guiding complex incident resolution Develop and advocate for strategies to proactively manage technical debt across multiple teams Actively mentor and develop engineers, fostering a culture of continuous learning What we're looking for Deep expertise in Java Deep expertise in system design and distributed architectures Track record of leading technical initiatives across multiple teams Strong experience with cloud platforms (AWS, Azure, GCP) Proven experience setting a multi-team technical vision and strategy Strong track record of technical leadership and influence without authority Experience driving engineering standards and best practices across organisations Experience of steering Communities of Practice or technical forums Strong business acumen and ability to translate technical concepts for various audiences Where and how you'll work This is a permanent position based in our London office. We have a hybrid working model which gives you flexibility to work from our office and from home. We're big on collaboration and connection, so you'll be based in our London office 3 days a week on Tuesdays, Wednesdays and Thursdays. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Enabled - focused on supporting associates with disabilities and neurodiversity Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We AreAt Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to b
About Us At Plentific, we're redefining property management in real time. Our mission, is to lead real estate through the transformative journey into "The World of Now," enabling us to empower property professionals through our innovative, cloud-based platform. We harness cutting-edge technology and data-driven insights to streamline operations for landlords, letting agents, and property managers-enabling them to optimize maintenance, manage repairs, and make informed decisions instantly. Our platform is designed to create seamless, real-time workflows that transform traditional property management into a dynamic, digital experience. Backed by a world-class group of investors-including Noa, Highland Europe, Brookfields, Mubadala, RXR Digital Ventures, and Target Global-Plentific is at the forefront of the proptech revolution. Headquartered in London with a global outlook, we're continually expanding our reach and impact. We're looking for forward thinking, passionate professionals who are ready to contribute to our mission and drive industry innovation. If you're excited about making an immediate impact and shaping the future of property management, explore career opportunities with us at Plentific. The Role As an AI Applied Engineer, you will design, build, and deploy AI powered features and automation tools that transform how our users interact with our platform and improve internal operational efficiency. You'll work across the stack to integrate AI capabilities-such as intelligent assistants, AI agents, and predictive systems-directly into our Python based applications, experimenting with new frameworks and deployment solutions along the way. Your day to day will focus on building real, production grade AI systems that deliver measurable value-whether that's automating property management workflows, creating decision support tools for our teams, or embedding natural language and vision capabilities into our products. You'll collaborate closely with product managers, data scientists, and other engineers, taking AI solutions from concept to scalable production deployment. You'll have the freedom to explore cutting edge tools like FastAPI, PydanticAI, LLM orchestration frameworks, while ensuring solutions are robust, maintainable, and secure. Responsibilities Develop and deploy AI powered features and services in our Python based stack (FastAPI and Django, DRF) and explore new frameworks (e.g. BentoML) for performance and scalability. Build and integrate intelligent automation systems, AI agents, and decision support tools into core product workflows. Implement and optimise LLM based systems, RAG pipelines, and AI agent architectures for complex property management workflows. Work with cross functional teams to gather requirements, define AI use cases, and iterate quickly on prototypes. Integrate complementary AI capabilities-such as voice processing, computer vision, and NLP-into customer facing and internal tools. Ensure all AI applications and models adhere to security best practices, including input validation, secure handling of sensitive data (PII/confidential property information), and protection against prompt injection and other AI specific vulnerabilities. Collaborate with MLOps and platform engineers to ensure models are deployed, monitored, and iterated in production environments. Maintain clear documentation for AI systems, APIs, and workflows. Stay on top of emerging AI frameworks and deployment tools, bringing forward innovative ideas for application. Experience & Qualifications Strong Python development background (5+ years preferred), with solid experience in FastAPI or Django and Django REST Framework. Proven track record of building and deploying AI/ML powered applications in production environments. Proficiency with async and streaming APIs, enabling efficient real time data processing and low latency AI service delivery in microservices (FastAPI, Django, Flask, or similar). Strong understanding of context engineering practices, optimising prompts, memory, and retrieval strategies for LLM based systems. Hands on experience with AI assisted development tools such as Cursor, Claude Code, Codex, and GitHub Copilot, focusing on AI specification driven approaches for technical analysis, code generation, and code review. Hands on experience with AI/ML frameworks (PyTorch, TensorFlow, HuggingFace) and LLM orchestration tools (PydanticAI, LangChain, LangGraph, or similar) Experience deploying ML models using containerised solutions (Docker, Kubernetes) and frameworks like BentoML or equivalent. Familiarity with vector databases and retrieval pipelines for RAG architectures. Knowledge of cloud platforms (AWS, GCP, Azure) and MLOps tooling (MLflow, Kubeflow, or similar). Familiarity with voice to text, IVR, and/or computer vision systems is a plus. Strong understanding of software engineering best practices-testing, CI/CD, version control, code reviews. Excellent problem solving skills and ability to collaborate in cross functional teams. Benefits As you can see, we are quickly progressing with our ambitious plans and are eager to grow our team of doers to achieve our vision of managing over 2 million properties through our platform across various countries. You can help us shape the future of property management across the globe. Here's what we offer: A competitive compensation package 25 days annual holiday + 1 additional day for every year served up to 3 years. Flexible working environment including the option to work abroad Private health care for you and immediate family members with discounted gym membership, optical, dental and private GP Enhanced parental leave Life insurance (4x salary) Employee assistance program Company volunteering day and charity salary sacrifice scheme Learning management system powered by Udemy Referral bonus and charity donation if someone you introduce joins the company Season ticket loan, Cycle to work, Electric vehicle and Techscheme programs Pension scheme Work abroad scheme Company sponsored lunches, dinners and social gatherings Fully stocked kitchen with drinks, snacks, fruit, breakfast cereal etc.
Apr 12, 2026
Full time
About Us At Plentific, we're redefining property management in real time. Our mission, is to lead real estate through the transformative journey into "The World of Now," enabling us to empower property professionals through our innovative, cloud-based platform. We harness cutting-edge technology and data-driven insights to streamline operations for landlords, letting agents, and property managers-enabling them to optimize maintenance, manage repairs, and make informed decisions instantly. Our platform is designed to create seamless, real-time workflows that transform traditional property management into a dynamic, digital experience. Backed by a world-class group of investors-including Noa, Highland Europe, Brookfields, Mubadala, RXR Digital Ventures, and Target Global-Plentific is at the forefront of the proptech revolution. Headquartered in London with a global outlook, we're continually expanding our reach and impact. We're looking for forward thinking, passionate professionals who are ready to contribute to our mission and drive industry innovation. If you're excited about making an immediate impact and shaping the future of property management, explore career opportunities with us at Plentific. The Role As an AI Applied Engineer, you will design, build, and deploy AI powered features and automation tools that transform how our users interact with our platform and improve internal operational efficiency. You'll work across the stack to integrate AI capabilities-such as intelligent assistants, AI agents, and predictive systems-directly into our Python based applications, experimenting with new frameworks and deployment solutions along the way. Your day to day will focus on building real, production grade AI systems that deliver measurable value-whether that's automating property management workflows, creating decision support tools for our teams, or embedding natural language and vision capabilities into our products. You'll collaborate closely with product managers, data scientists, and other engineers, taking AI solutions from concept to scalable production deployment. You'll have the freedom to explore cutting edge tools like FastAPI, PydanticAI, LLM orchestration frameworks, while ensuring solutions are robust, maintainable, and secure. Responsibilities Develop and deploy AI powered features and services in our Python based stack (FastAPI and Django, DRF) and explore new frameworks (e.g. BentoML) for performance and scalability. Build and integrate intelligent automation systems, AI agents, and decision support tools into core product workflows. Implement and optimise LLM based systems, RAG pipelines, and AI agent architectures for complex property management workflows. Work with cross functional teams to gather requirements, define AI use cases, and iterate quickly on prototypes. Integrate complementary AI capabilities-such as voice processing, computer vision, and NLP-into customer facing and internal tools. Ensure all AI applications and models adhere to security best practices, including input validation, secure handling of sensitive data (PII/confidential property information), and protection against prompt injection and other AI specific vulnerabilities. Collaborate with MLOps and platform engineers to ensure models are deployed, monitored, and iterated in production environments. Maintain clear documentation for AI systems, APIs, and workflows. Stay on top of emerging AI frameworks and deployment tools, bringing forward innovative ideas for application. Experience & Qualifications Strong Python development background (5+ years preferred), with solid experience in FastAPI or Django and Django REST Framework. Proven track record of building and deploying AI/ML powered applications in production environments. Proficiency with async and streaming APIs, enabling efficient real time data processing and low latency AI service delivery in microservices (FastAPI, Django, Flask, or similar). Strong understanding of context engineering practices, optimising prompts, memory, and retrieval strategies for LLM based systems. Hands on experience with AI assisted development tools such as Cursor, Claude Code, Codex, and GitHub Copilot, focusing on AI specification driven approaches for technical analysis, code generation, and code review. Hands on experience with AI/ML frameworks (PyTorch, TensorFlow, HuggingFace) and LLM orchestration tools (PydanticAI, LangChain, LangGraph, or similar) Experience deploying ML models using containerised solutions (Docker, Kubernetes) and frameworks like BentoML or equivalent. Familiarity with vector databases and retrieval pipelines for RAG architectures. Knowledge of cloud platforms (AWS, GCP, Azure) and MLOps tooling (MLflow, Kubeflow, or similar). Familiarity with voice to text, IVR, and/or computer vision systems is a plus. Strong understanding of software engineering best practices-testing, CI/CD, version control, code reviews. Excellent problem solving skills and ability to collaborate in cross functional teams. Benefits As you can see, we are quickly progressing with our ambitious plans and are eager to grow our team of doers to achieve our vision of managing over 2 million properties through our platform across various countries. You can help us shape the future of property management across the globe. Here's what we offer: A competitive compensation package 25 days annual holiday + 1 additional day for every year served up to 3 years. Flexible working environment including the option to work abroad Private health care for you and immediate family members with discounted gym membership, optical, dental and private GP Enhanced parental leave Life insurance (4x salary) Employee assistance program Company volunteering day and charity salary sacrifice scheme Learning management system powered by Udemy Referral bonus and charity donation if someone you introduce joins the company Season ticket loan, Cycle to work, Electric vehicle and Techscheme programs Pension scheme Work abroad scheme Company sponsored lunches, dinners and social gatherings Fully stocked kitchen with drinks, snacks, fruit, breakfast cereal etc.
Job Category Technical Product Development Posting Date 04/01/2026, 10:20 AM Job Schedule Full time Locations 22 Bishopsgate, Floor 27, London, GT LON, EC2N 4AJ, GB (Hybrid) STI Yes LTI No Commission No Work Arrangement Hybrid Budgeted Salary Currency GBP Minimum Salary 95,000 Maximum Salary 120,000 Division Specialty Business Solution Disclaimer Annualized base pay may vary depending on geographic location, job-related knowledge, skills, and experience Job Description Whitespace, a Verisk business, is a specialist technology company focused on building modern, scalable platforms that support data driven decision making across the insurance and risk markets. As part of Verisk, we combine the agility and innovation of a focused tech business with the scale, stability, and global reach of a leading data analytics organisation. We are looking for an experienced Principal Architect to play a key role in shaping the future of our technology platforms. This is a senior, hands on architecture role where you will influence technical direction, guide engineering teams, and design robust software systems that support a growing, modern SaaS environment. You will work closely with engineers, analysts, and senior stakeholders to translate business needs into scalable, secure, and high performing solutions. You will also take ownership of reviewing existing systems, identifying opportunities to simplify, refactor, and improve performance and reusability. This is an opportunity to have real impact across our platform and help drive architectural excellence across the organisation. Responsibilities System Design & Architecture: As a Principal Architect you will lead the design and development of scalable, reliable, and secure software architectures. Translate business requirements into technical solutions that align with company goals and industry best practices. Technical Leadership: Provide technical guidance and mentorship to engineers, ensuring adherence to architecture standards and best practices. Lead code reviews, technical discussions, and decision-making processes. Create technical designs for new features to enable work to be distributed across engineers and tracked. Collaboration: Work closely with analysts, engineers, and other stakeholders to understand system requirements, constraints, and objectives. Ensure the architecture supports future growth and flexibility. You will be expected to gain a deep understanding of how the Platform works to help steer the best outcomes for new feature delivery. Technology Selection: Evaluate and recommend appropriate technologies, frameworks, and tools for software development, ensuring that the system is innovative and cost-effective. Quality Assurance: Ensure software designs and implementations follow best practices, coding standards, and appropriate testing methodologies. Guarantee high performance, security, and scalability of the architecture. Documentation & Communication: Create clear, comprehensive, and maintainable documentation for system architectures, workflows, and technical specifications. Communicate effectively with non-technical stakeholders to ensure understanding of architectural decisions. Continuous Improvement: Stay updated on emerging technologies and industry trends to keep our systems modern and ahead of the competition. Drive innovation and continuous improvement in software architecture and development processes. Qualifications Degree in Computer Science, Software Engineering, or a related field Many years of experience in software development at a senior or principal level Proven experience designing and delivering complex systems, ideally within a SaaS environment Strong, hands on experience with Swift, which is essential for this role Deep understanding of software architecture principles, patterns, and design methodologies Experience with cloud platforms such as Azure, AWS, or GCP Strong knowledge of microservices and distributed systems Experience with relational and NoSQL databases Familiarity with DevOps practices including CI/CD, Docker, and Kubernetes Experience working in Agile environments A strong focus on quality, performance optimisation, and high availability systems About Us Our People, Our Culture For more than 50 years, Verisk has helped property and casualty insurers make smarter decisions about risk through AI-powered risk modeling, advanced analytics, and technology solutions spanning the entire policy lifecycle. We are a leading strategic data, analytics, and technology partner to the global insurance industry, guided by core values of learning, caring, and results while maintaining the highest ethical standards as stewards of the industry's most comprehensive datasets.Learn more about Verisk and what we are doing within the insurance industry. For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work for outstanding workplace culture in the US, the fourth consecutive year in the UK, Spain, and India, and the second consecutive year in Poland. In addition, we've been recognized by The Wall Street Journal as one of the Best-Managed Companies and by Forbes as a World's Best Employer, testaments to the value we place on workplace culture. Our Culture : Explore our inclusive, people-first culture that fosters innovation, collaboration, and belonging. Awards & Recognition : See why Verisk is consistently recognized as a Great Place to Work around the world. Our Businesses : Learn about the diverse industries we serve - from insurance and energy to financial services and beyond. Life at Verisk : Discover what it's like to work at Verisk through employee stories, team highlights, and culture moments. Careers at Verisk : Join a global team of problem-solvers and innovators doing meaningful work that's shaping the future of industries. Whether you're just starting out or looking to take your career to the next level, Verisk offers growth, purpose, and a people-first culture Let's build something meaningful together! Verisk Analytics is an equal opportunity employer. All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability. Verisk's minimum hiring age is 18 except in countries with a higher age limit subject to applicable law. At Verisk, we provide a competitive compensation package aligned with market benchmarks and individual experience, disclosed transparently in accordance with applicable pay transparency regulations. In addition to base salary, eligible roles may include a range of incentive opportunities designed based on market research and our internal grading structure. Our benefits portfolio varies by location; however, a typical package includes medical coverage, life insurance, pension plans, and paid time off in line with local labor laws. We also foster a work environment focused on well-being and career development. Additional perks may include wellness initiatives, fitness programs, and team-building activities. Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine, or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.
Apr 11, 2026
Full time
Job Category Technical Product Development Posting Date 04/01/2026, 10:20 AM Job Schedule Full time Locations 22 Bishopsgate, Floor 27, London, GT LON, EC2N 4AJ, GB (Hybrid) STI Yes LTI No Commission No Work Arrangement Hybrid Budgeted Salary Currency GBP Minimum Salary 95,000 Maximum Salary 120,000 Division Specialty Business Solution Disclaimer Annualized base pay may vary depending on geographic location, job-related knowledge, skills, and experience Job Description Whitespace, a Verisk business, is a specialist technology company focused on building modern, scalable platforms that support data driven decision making across the insurance and risk markets. As part of Verisk, we combine the agility and innovation of a focused tech business with the scale, stability, and global reach of a leading data analytics organisation. We are looking for an experienced Principal Architect to play a key role in shaping the future of our technology platforms. This is a senior, hands on architecture role where you will influence technical direction, guide engineering teams, and design robust software systems that support a growing, modern SaaS environment. You will work closely with engineers, analysts, and senior stakeholders to translate business needs into scalable, secure, and high performing solutions. You will also take ownership of reviewing existing systems, identifying opportunities to simplify, refactor, and improve performance and reusability. This is an opportunity to have real impact across our platform and help drive architectural excellence across the organisation. Responsibilities System Design & Architecture: As a Principal Architect you will lead the design and development of scalable, reliable, and secure software architectures. Translate business requirements into technical solutions that align with company goals and industry best practices. Technical Leadership: Provide technical guidance and mentorship to engineers, ensuring adherence to architecture standards and best practices. Lead code reviews, technical discussions, and decision-making processes. Create technical designs for new features to enable work to be distributed across engineers and tracked. Collaboration: Work closely with analysts, engineers, and other stakeholders to understand system requirements, constraints, and objectives. Ensure the architecture supports future growth and flexibility. You will be expected to gain a deep understanding of how the Platform works to help steer the best outcomes for new feature delivery. Technology Selection: Evaluate and recommend appropriate technologies, frameworks, and tools for software development, ensuring that the system is innovative and cost-effective. Quality Assurance: Ensure software designs and implementations follow best practices, coding standards, and appropriate testing methodologies. Guarantee high performance, security, and scalability of the architecture. Documentation & Communication: Create clear, comprehensive, and maintainable documentation for system architectures, workflows, and technical specifications. Communicate effectively with non-technical stakeholders to ensure understanding of architectural decisions. Continuous Improvement: Stay updated on emerging technologies and industry trends to keep our systems modern and ahead of the competition. Drive innovation and continuous improvement in software architecture and development processes. Qualifications Degree in Computer Science, Software Engineering, or a related field Many years of experience in software development at a senior or principal level Proven experience designing and delivering complex systems, ideally within a SaaS environment Strong, hands on experience with Swift, which is essential for this role Deep understanding of software architecture principles, patterns, and design methodologies Experience with cloud platforms such as Azure, AWS, or GCP Strong knowledge of microservices and distributed systems Experience with relational and NoSQL databases Familiarity with DevOps practices including CI/CD, Docker, and Kubernetes Experience working in Agile environments A strong focus on quality, performance optimisation, and high availability systems About Us Our People, Our Culture For more than 50 years, Verisk has helped property and casualty insurers make smarter decisions about risk through AI-powered risk modeling, advanced analytics, and technology solutions spanning the entire policy lifecycle. We are a leading strategic data, analytics, and technology partner to the global insurance industry, guided by core values of learning, caring, and results while maintaining the highest ethical standards as stewards of the industry's most comprehensive datasets.Learn more about Verisk and what we are doing within the insurance industry. For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work for outstanding workplace culture in the US, the fourth consecutive year in the UK, Spain, and India, and the second consecutive year in Poland. In addition, we've been recognized by The Wall Street Journal as one of the Best-Managed Companies and by Forbes as a World's Best Employer, testaments to the value we place on workplace culture. Our Culture : Explore our inclusive, people-first culture that fosters innovation, collaboration, and belonging. Awards & Recognition : See why Verisk is consistently recognized as a Great Place to Work around the world. Our Businesses : Learn about the diverse industries we serve - from insurance and energy to financial services and beyond. Life at Verisk : Discover what it's like to work at Verisk through employee stories, team highlights, and culture moments. Careers at Verisk : Join a global team of problem-solvers and innovators doing meaningful work that's shaping the future of industries. Whether you're just starting out or looking to take your career to the next level, Verisk offers growth, purpose, and a people-first culture Let's build something meaningful together! Verisk Analytics is an equal opportunity employer. All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability. Verisk's minimum hiring age is 18 except in countries with a higher age limit subject to applicable law. At Verisk, we provide a competitive compensation package aligned with market benchmarks and individual experience, disclosed transparently in accordance with applicable pay transparency regulations. In addition to base salary, eligible roles may include a range of incentive opportunities designed based on market research and our internal grading structure. Our benefits portfolio varies by location; however, a typical package includes medical coverage, life insurance, pension plans, and paid time off in line with local labor laws. We also foster a work environment focused on well-being and career development. Additional perks may include wellness initiatives, fitness programs, and team-building activities. Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine, or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.
What if you could do the kind of work the world needs? At WSP, you can access our global scale, contribute to landmark projects and connect with the brightest minds in your field to do the best work of your life. You can embrace your curiosity in a culture that celebrates new ideas and diverse perspectives. You can experience a world of opportunity and the chance to shape a career as unique as you. We areseekinga highly skilled and hands on Cloud Network Architect to join WSP's Global IT organization supporting its internal employees. Reporting to the manager of Network Architecture & Design, you will be responsible for the design, evolution, governance, and implementation of enterprise cloud networking solutions, with a primary focus on Microsoft Azure. We are looking for a practitioner who combines strategic thinking with real world engineering experience. You will design and build scalable, secure, and resilient cloud connectivity services that support WSP's global operations and Zero Trust ambitions. You will also partner closely with platform engineering to embed DevOps and automation practices into cloud network delivery and operations. A little more about your role Design end to end Azure networking architectures, including segmentation, routing, DNS, private access, and network security. Architect and maintain global cloud connectivity patterns. Define cloud networking standards, reference architectures, guardrails, and reusable design patterns. Collaborate with Security Architecture to design identity driven, Zero Trust aligned network controls. Serve as architecture authority for cloud networking across major programs and initiatives. Build, configure, and optimize cloud networking components. Deploy, tune, and secure cloud firewalls, proxies, and enforcement points. Troubleshoot complex cloud and hybrid network issues across L3-L7. Validate resiliency, DR, and continuity plans through hands on testing. Develop and maintain Infrastructure as Code for cloud network provisioning using modular, reusable patterns. Integrate cloud network builds into CI/CD workflows including automated testing and promotion between environments. Implement automated baseline checks, compliance controls, configuration consistency, and drift detection using policy as code and guardrails. Build automation for operational tasks and standard remediation to reduce manual toil. Implement and maintain telemetry/observability pipelines to enable proactive detection and performance optimization. Champion reusable modules, automation patterns, GitOps practices, and engineering best practices across teams. Optimize network performance, routing, and traffic flows across cloud and hybrid landscapes. Provide expert guidance to Network Engineers, Cloud Engineers, project managers, and business stakeholders. Evaluate emerging cloud networking technologies and influence strategic roadmaps. Mentor engineering teams developing cloud first skills and modern automation capabilities. What we will be looking for you to demonstrate The ideal candidate would meet all, or most of the below criteria: Bachelor's degree in computer science, Information Technology, Engineering, or equivalent experience. Significant practical, hands on network engineering and architecture experience. Deep expertise in Microsoft Azure networking. Strong understanding of hybrid connectivity patterns and datacenter interconnect architectures. Experience integrating cloud networks with SSE/SASE platforms (Zscaler ZIA/ZPA preferred). Strong understanding of segmentation models, identity based access, and cloud native security policies. Strong proficiency with Terraform, Ansible, GitHub, and CI/CD workflows. Experience with GitOps practices, modular IaC design, and automated governance controls. Scripting and automation skills and experience with API driven workflows. Knowledge of other clouds (AWS, GCP, OCI) is beneficial. Experience with container networking is an advantage. Strong architectural documentation and diagramming capability. Ability to communicate complex designs to both technical and non technical audiences. Comfortable collaborating within a large, globally distributed enterprise. Imagine a better future for you and a better future for us all. Join our close knit community of talented individuals who share your passion for making a positive impact. Our global team includes more than 69,000 employees, working together to make a difference in communities both close to home and around the world. With us, you can. Apply today.
Apr 11, 2026
Full time
What if you could do the kind of work the world needs? At WSP, you can access our global scale, contribute to landmark projects and connect with the brightest minds in your field to do the best work of your life. You can embrace your curiosity in a culture that celebrates new ideas and diverse perspectives. You can experience a world of opportunity and the chance to shape a career as unique as you. We areseekinga highly skilled and hands on Cloud Network Architect to join WSP's Global IT organization supporting its internal employees. Reporting to the manager of Network Architecture & Design, you will be responsible for the design, evolution, governance, and implementation of enterprise cloud networking solutions, with a primary focus on Microsoft Azure. We are looking for a practitioner who combines strategic thinking with real world engineering experience. You will design and build scalable, secure, and resilient cloud connectivity services that support WSP's global operations and Zero Trust ambitions. You will also partner closely with platform engineering to embed DevOps and automation practices into cloud network delivery and operations. A little more about your role Design end to end Azure networking architectures, including segmentation, routing, DNS, private access, and network security. Architect and maintain global cloud connectivity patterns. Define cloud networking standards, reference architectures, guardrails, and reusable design patterns. Collaborate with Security Architecture to design identity driven, Zero Trust aligned network controls. Serve as architecture authority for cloud networking across major programs and initiatives. Build, configure, and optimize cloud networking components. Deploy, tune, and secure cloud firewalls, proxies, and enforcement points. Troubleshoot complex cloud and hybrid network issues across L3-L7. Validate resiliency, DR, and continuity plans through hands on testing. Develop and maintain Infrastructure as Code for cloud network provisioning using modular, reusable patterns. Integrate cloud network builds into CI/CD workflows including automated testing and promotion between environments. Implement automated baseline checks, compliance controls, configuration consistency, and drift detection using policy as code and guardrails. Build automation for operational tasks and standard remediation to reduce manual toil. Implement and maintain telemetry/observability pipelines to enable proactive detection and performance optimization. Champion reusable modules, automation patterns, GitOps practices, and engineering best practices across teams. Optimize network performance, routing, and traffic flows across cloud and hybrid landscapes. Provide expert guidance to Network Engineers, Cloud Engineers, project managers, and business stakeholders. Evaluate emerging cloud networking technologies and influence strategic roadmaps. Mentor engineering teams developing cloud first skills and modern automation capabilities. What we will be looking for you to demonstrate The ideal candidate would meet all, or most of the below criteria: Bachelor's degree in computer science, Information Technology, Engineering, or equivalent experience. Significant practical, hands on network engineering and architecture experience. Deep expertise in Microsoft Azure networking. Strong understanding of hybrid connectivity patterns and datacenter interconnect architectures. Experience integrating cloud networks with SSE/SASE platforms (Zscaler ZIA/ZPA preferred). Strong understanding of segmentation models, identity based access, and cloud native security policies. Strong proficiency with Terraform, Ansible, GitHub, and CI/CD workflows. Experience with GitOps practices, modular IaC design, and automated governance controls. Scripting and automation skills and experience with API driven workflows. Knowledge of other clouds (AWS, GCP, OCI) is beneficial. Experience with container networking is an advantage. Strong architectural documentation and diagramming capability. Ability to communicate complex designs to both technical and non technical audiences. Comfortable collaborating within a large, globally distributed enterprise. Imagine a better future for you and a better future for us all. Join our close knit community of talented individuals who share your passion for making a positive impact. Our global team includes more than 69,000 employees, working together to make a difference in communities both close to home and around the world. With us, you can. Apply today.
Job Title: Cyber Security Operations Manager Location: Liverpool City Centre on a Hybrid working basis Salary: Up to £75,000 per annum Depending on experience Job Type: Permanent, Full Time Working Hours: 37.5 hours per week, Monday to Friday Acorn are looking to recruit a brand-new role as a Cyber Security Operations Manager. The Cyber Security Operations Manager will lead the operational security function responsible for protecting the organisation's information assets, technology services, and users. This role oversees all security operation functions, incident response, threat detection, vulnerability management, and continuous improvement of the organisation's security posture. Working closely with Infrastructure, Cloud, Architecture, Governance, Compliance and Risk teams, the manager ensures that security operations are proactive, resilient, and aligned with business needs. Responsibilities Lead and manage the daily operations of the internal Security Operations team and primary relationship with any outsourced SOC solution ensuring 24/7 monitoring and response coverage. Oversee cyber defence capabilities including SIEM, SOAR, EDR/XDR, threat intelligence, and identity protection. Develop and maintain operational procedures, playbooks, and response frameworks. Direct the full incident response lifecycle: detection, triage, containment, eradication, recovery, and post-incident review. Coordinate major incident management with IT Infrastructure, Cloud, and Business teams. Ensure lessons learned are captured and drive meaningful improvement. Oversee the vulnerability management programme, ensuring timely identification, prioritisation, and remediation of risks. Partner with asset owners to ensure patches, configuration hardening, and remediation actions are completed. Support risk assessment processes and provide input to security governance and compliance teams. Ensure the design, tuning, and optimisation of detection rules, alerts, and correlation logic across security platforms. Drive automation initiatives using SOAR to improve response speed and reduce operational workload. Maintain robust coverage across cloud, on premise, network, and endpoint environments. Build capability through training, certifications, and knowledge-sharing programmes. Work with technology, business, and leadership teams to communicate risks, incidents, and security posture. Support audits, regulatory assessments, and customer assurance activities About you Requirements Experience managing a SOC or security operations function within a complex enterprise environment. Strong understanding of SIEM, SOAR, EDR, IDS/IPS, firewalls, and cloud-native security tooling. Knowledge of cyber security frameworks such as NIST CSF, MITRE ATT&CK, ISO 27001, or CIS Controls. Demonstrated expertise in incident response and threat management. Experience working in hybrid cloud environments (Azure, AWS, or GCP). Grow with Acorn We bring over 40 years of specialist insurance expertise to the table. From humble beginnings, we've grown into a national leader, now employing 1,700+ people across the UK. We're growing fast, with new opportunities emerging every week. That growth is largely due to the values we share: We run through walls for our customers and each other We challenge the status quo We succeed when we help those around us succeed We decide quickly when the smart thing to do is use our judgement Benefits 35 days' holiday (including bank holidays) with additional buy/sell options 24/7 mental health support & free counselling available Grow with us: Through career fairs, leadership programs, and learning on the go! Flexible benefits, including early access to salary via our internal platform Hybrid working options to support work-life balance and individual needs Recognition awards, social events & more Our Commitment to our colleague's Mindful Employer Disability Confident Level 1 & 2 Menopause Friendly accredited Armed Forces Covenant signatory Great Places to Work 2024/25 Best Place to Work for Development Best Place to Work for Women Before applying, please know If your application is successful, we will run relevant employment checks prior to your employment with us. These will include a standard criminal record check and an insolvency register check. Visa Requirements We can only consider applicants who have at least one year remaining on their Graduate or Post-Study Work visa. At the moment, we're not able to offer visa sponsorship. We're Here to Support You We're committed to creating an inclusive, supportive workplace where everyone can flourish. If you need any adjustments during the recruitment process or once you're part of the team-we'll work with you to make sure you can do your best work. Please click the APPLY button to submit your CV for this role. Candidates with experience or relevant job titles of; Cyber Security Consultant, Head of Cyber Security, Cyber Security Operations Supervisor, IT Cloud Operations Manager may also be considered for this role.
Apr 11, 2026
Full time
Job Title: Cyber Security Operations Manager Location: Liverpool City Centre on a Hybrid working basis Salary: Up to £75,000 per annum Depending on experience Job Type: Permanent, Full Time Working Hours: 37.5 hours per week, Monday to Friday Acorn are looking to recruit a brand-new role as a Cyber Security Operations Manager. The Cyber Security Operations Manager will lead the operational security function responsible for protecting the organisation's information assets, technology services, and users. This role oversees all security operation functions, incident response, threat detection, vulnerability management, and continuous improvement of the organisation's security posture. Working closely with Infrastructure, Cloud, Architecture, Governance, Compliance and Risk teams, the manager ensures that security operations are proactive, resilient, and aligned with business needs. Responsibilities Lead and manage the daily operations of the internal Security Operations team and primary relationship with any outsourced SOC solution ensuring 24/7 monitoring and response coverage. Oversee cyber defence capabilities including SIEM, SOAR, EDR/XDR, threat intelligence, and identity protection. Develop and maintain operational procedures, playbooks, and response frameworks. Direct the full incident response lifecycle: detection, triage, containment, eradication, recovery, and post-incident review. Coordinate major incident management with IT Infrastructure, Cloud, and Business teams. Ensure lessons learned are captured and drive meaningful improvement. Oversee the vulnerability management programme, ensuring timely identification, prioritisation, and remediation of risks. Partner with asset owners to ensure patches, configuration hardening, and remediation actions are completed. Support risk assessment processes and provide input to security governance and compliance teams. Ensure the design, tuning, and optimisation of detection rules, alerts, and correlation logic across security platforms. Drive automation initiatives using SOAR to improve response speed and reduce operational workload. Maintain robust coverage across cloud, on premise, network, and endpoint environments. Build capability through training, certifications, and knowledge-sharing programmes. Work with technology, business, and leadership teams to communicate risks, incidents, and security posture. Support audits, regulatory assessments, and customer assurance activities About you Requirements Experience managing a SOC or security operations function within a complex enterprise environment. Strong understanding of SIEM, SOAR, EDR, IDS/IPS, firewalls, and cloud-native security tooling. Knowledge of cyber security frameworks such as NIST CSF, MITRE ATT&CK, ISO 27001, or CIS Controls. Demonstrated expertise in incident response and threat management. Experience working in hybrid cloud environments (Azure, AWS, or GCP). Grow with Acorn We bring over 40 years of specialist insurance expertise to the table. From humble beginnings, we've grown into a national leader, now employing 1,700+ people across the UK. We're growing fast, with new opportunities emerging every week. That growth is largely due to the values we share: We run through walls for our customers and each other We challenge the status quo We succeed when we help those around us succeed We decide quickly when the smart thing to do is use our judgement Benefits 35 days' holiday (including bank holidays) with additional buy/sell options 24/7 mental health support & free counselling available Grow with us: Through career fairs, leadership programs, and learning on the go! Flexible benefits, including early access to salary via our internal platform Hybrid working options to support work-life balance and individual needs Recognition awards, social events & more Our Commitment to our colleague's Mindful Employer Disability Confident Level 1 & 2 Menopause Friendly accredited Armed Forces Covenant signatory Great Places to Work 2024/25 Best Place to Work for Development Best Place to Work for Women Before applying, please know If your application is successful, we will run relevant employment checks prior to your employment with us. These will include a standard criminal record check and an insolvency register check. Visa Requirements We can only consider applicants who have at least one year remaining on their Graduate or Post-Study Work visa. At the moment, we're not able to offer visa sponsorship. We're Here to Support You We're committed to creating an inclusive, supportive workplace where everyone can flourish. If you need any adjustments during the recruitment process or once you're part of the team-we'll work with you to make sure you can do your best work. Please click the APPLY button to submit your CV for this role. Candidates with experience or relevant job titles of; Cyber Security Consultant, Head of Cyber Security, Cyber Security Operations Supervisor, IT Cloud Operations Manager may also be considered for this role.
MCS Group is delighted to be partnering with a rapidly scaling cloud and data engineering consultancy as they build out a new engineering function in Belfast. This organisation delivers mission-critical platforms across cloud, data, AI, and event-driven systems, working closely with enterprise and high-growth clients to build scalable, production-grade solutions. Due to a strong pipeline of upcoming projects, they are seeking talented Software Engineers who can operate across a variety of modern tech stacks and contribute to multiple high-impact engagements. The Role This is a highly technical, hands-on engineering role suited to developers who enjoy variety and solving complex problems across different domains. You will have the opportunity to work across several greenfield and scaling projects, including: Modern full-stack platforms (React, TypeScript, GraphQL, NestJS) Event-driven systems leveraging cloud-native architectures Data and AI-driven solutions using GCP and advanced data tooling Backend and microservices environments using Java, Python, and Node.js You'll be building scalable systems end-to-end, contributing to architecture, and working closely with both internal teams and external clients. What You'll Be Doing Designing and building scalable, high-performance applications across backend and full-stack environments Developing APIs, microservices, and event-driven systems Working across cloud-native infrastructure (primarily GCP) including serverless and containerised environments Contributing to data pipelines, integrations, and AI-enabled features Collaborating on system design and architectural decisions Implementing CI/CD pipelines and DevOps best practices Working closely with clients to deliver robust, production-ready solutions What You'll Need Strong commercial experience in software development (Java, Python, TypeScript, or JavaScript) Experience with modern frameworks (e.g. React, Node.js/NestJS, Spring, etc.) Solid understanding of APIs, microservices, and distributed systems Experience working with SQL databases (PostgreSQL preferred) Exposure to cloud platforms (GCP, AWS, or Azure) and containerisation (Docker/Kubernetes) Familiarity with CI/CD pipelines (GitHub Actions, GitLab CI, etc.) A flexible mindset and ability to work across multiple tech stacks and projects Nice to Have Experience with event-driven architecture (Pub/Sub, Kafka, etc.) Exposure to data/AI tooling or data pipelines Experience with GraphQL and modern frontend tooling (Next.js, Vite) Knowledge of observability tools (e.g. OpenTelemetry) What's in it for You Work across diverse, cutting-edge projects spanning cloud, data, AI, and full-stack engineering Strong exposure to modern GCP-based architectures and tooling Opportunity to influence technical direction and architecture Hybrid working model Competitive salary and benefits A collaborative, engineering-led culture with real ownership and growth opportunities This is an excellent opportunity for a versatile software engineer who enjoys working across different technologies and wants to be part of a high-growth consultancy delivering complex, real-world systems. To speak in absolute confidence about this opportunity, please send an up to date CV via the link provided or contact Matthew Rainey at Even if this position is not right for you, we may have others that are. Please visit MCS Group to view a wide selection of our current and exclusive roles MCS Group is committed to Equality, Diversity, and Inclusion for all, being the first recruitment agency in NI to achieve Bronze Diversity Mark accreditation, if you have a disability which means you require a reasonable adjustment to be considered at any stage of the recruitment process, please contact us and we will endeavour to facilitate the request. Not all agencies are the same MCS Group are passionate about providing a first-class service to all our customers and have an independent review rating of 4.9 stars on Google.
Apr 10, 2026
Full time
MCS Group is delighted to be partnering with a rapidly scaling cloud and data engineering consultancy as they build out a new engineering function in Belfast. This organisation delivers mission-critical platforms across cloud, data, AI, and event-driven systems, working closely with enterprise and high-growth clients to build scalable, production-grade solutions. Due to a strong pipeline of upcoming projects, they are seeking talented Software Engineers who can operate across a variety of modern tech stacks and contribute to multiple high-impact engagements. The Role This is a highly technical, hands-on engineering role suited to developers who enjoy variety and solving complex problems across different domains. You will have the opportunity to work across several greenfield and scaling projects, including: Modern full-stack platforms (React, TypeScript, GraphQL, NestJS) Event-driven systems leveraging cloud-native architectures Data and AI-driven solutions using GCP and advanced data tooling Backend and microservices environments using Java, Python, and Node.js You'll be building scalable systems end-to-end, contributing to architecture, and working closely with both internal teams and external clients. What You'll Be Doing Designing and building scalable, high-performance applications across backend and full-stack environments Developing APIs, microservices, and event-driven systems Working across cloud-native infrastructure (primarily GCP) including serverless and containerised environments Contributing to data pipelines, integrations, and AI-enabled features Collaborating on system design and architectural decisions Implementing CI/CD pipelines and DevOps best practices Working closely with clients to deliver robust, production-ready solutions What You'll Need Strong commercial experience in software development (Java, Python, TypeScript, or JavaScript) Experience with modern frameworks (e.g. React, Node.js/NestJS, Spring, etc.) Solid understanding of APIs, microservices, and distributed systems Experience working with SQL databases (PostgreSQL preferred) Exposure to cloud platforms (GCP, AWS, or Azure) and containerisation (Docker/Kubernetes) Familiarity with CI/CD pipelines (GitHub Actions, GitLab CI, etc.) A flexible mindset and ability to work across multiple tech stacks and projects Nice to Have Experience with event-driven architecture (Pub/Sub, Kafka, etc.) Exposure to data/AI tooling or data pipelines Experience with GraphQL and modern frontend tooling (Next.js, Vite) Knowledge of observability tools (e.g. OpenTelemetry) What's in it for You Work across diverse, cutting-edge projects spanning cloud, data, AI, and full-stack engineering Strong exposure to modern GCP-based architectures and tooling Opportunity to influence technical direction and architecture Hybrid working model Competitive salary and benefits A collaborative, engineering-led culture with real ownership and growth opportunities This is an excellent opportunity for a versatile software engineer who enjoys working across different technologies and wants to be part of a high-growth consultancy delivering complex, real-world systems. To speak in absolute confidence about this opportunity, please send an up to date CV via the link provided or contact Matthew Rainey at Even if this position is not right for you, we may have others that are. Please visit MCS Group to view a wide selection of our current and exclusive roles MCS Group is committed to Equality, Diversity, and Inclusion for all, being the first recruitment agency in NI to achieve Bronze Diversity Mark accreditation, if you have a disability which means you require a reasonable adjustment to be considered at any stage of the recruitment process, please contact us and we will endeavour to facilitate the request. Not all agencies are the same MCS Group are passionate about providing a first-class service to all our customers and have an independent review rating of 4.9 stars on Google.
Sponsorship: Unfortunately we are unable to offer sponsorship for this role. This role in 3 words: Build, Collaborate, Deliver Top 3 qualities for this role: Communication, Delivery Expertise, Amplification Where you'll work: Depending on the needs of your business area, we expect hub based people to be in the office at least once a week, and to go to OVO Connection events in-person. You'll be assigned to the closest one of our three hub offices, Bristol, Glasgow, or London; unless your role requires field-based work. Each hub has accessible spaces to park your laptop, is designed to inspire people, help them connect and bring big ideas to life. Everyone belongs at OVO: At OVO, we are on a mission to solve one of humanity's biggest challenges, the climate crisis. And we know it takes all of us to change the world. That's why we need diverse people from all abilities, gender identities, ethnicities, ages, sexual orientations, life experiences and backgrounds to join us. Teamworking for the planet: Everything we do here spins around Plan Zero. So, naturally, the team you'll be joining plays a gigantic role in making that happen. Here's how: As a Senior Software Engineer, you'll own the end-to-end development of complex systems and features that are core to our business. This role in a nutshell: You will lead technical initiatives, make critical design decisions, and mentor engineers to elevate the team's capabilities. Your expertise will be the driving force that ensures we build scalable, high-quality software that pushes our company forward. Your key outcomes will be: Technical Leadership & Architecture: Drive the architectural vision for key features, designing robust, scalable systems and contributing to the technical roadmap to influence the future direction of the product. Engineering Excellence & Quality: Champion best practices by writing clean, efficient code, leading rigorous code reviews, and implementing comprehensive automated testing to ensure high-quality, performant solutions. Mentorship & Team Growth: Lead and mentor other engineers, fostering a culture of continuous learning and collaboration through knowledge sharing, technical discussions, and constructive feedback. Project Execution & Delivery: Translate complex projects into clear, executable tasks within an Agile framework, proactively resolving blockers to ensure the timely and efficient delivery of team commitments. Community & Knowledge Sharing: Actively contribute to the wider engineering community by leading discussions, sharing expertise through documentation and workshops, and driving the exchange of best practices. You'll be successful here at OVO if you Professional Experience: Significant hands-on experience developing software in an agile environment, with a proven track record of delivering high-quality, clean code. Backend & Architecture: Expertise in designing and building scalable microservices-based architectures using languages like Node.js, Python, and TypeScript. Cloud & DevOps: Hands-on experience with cloud platforms (GCP, AWS), containerization (Docker, Kubernetes), and modern CI/CD practices. Frontend Development: Proficiency in modern frontend frameworks such as React.js and/or React Native. Leadership & Mentorship: Proven ability to lead technical initiatives and mentor other engineers, fostering a culture of technical excellence. Collaboration & Problem-Solving: Excellent communication and analytical skills, with the ability to thrive in a high-ownership, collaborative team environment. Let's talk about what's in it for you: We'll pay you between £55,000 and £84,923, depending on your specific skills and experience. We keep our pay ranges broad on purpose to give us, and you, flexibility to match your experience to our zero carbon mission. You'll be eligible for an on-target bonus of 15%. We have one OVO bonus plan that focuses on the collective performance of our people to deliver our Plan Zero goal. We also offer plenty of green benefits and progressive policies to help you feel like you belong at OVO and there's flex pay. We'll give you 9% Flex Pay on top of your salary - 4% of this is auto enrolled into your pension, and the remaining 5% is yours to do what you like with. You can use this to buy from our extensive range of flexible benefits, including our green benefits which we've put at the heart of our offering, add to your pension or even take it as cash. Here's a taster of what's on offer: For starters, you'll get 34 days of holiday (including bank holidays). For your health With benefits like a healthcare cash plan or private medical insurance depending on your career level, critical illness cover, life assurance, health assessments, and more For your wellbeing With gym membership, travel insurance, workplace ISA, will writing services, dental insurance, and more For your lifestyle With extra holiday buying, discount dining, home & tech loans, and supporting your favourite charities with give-as-you-earn donations For your home Get up to £400 towards any OVO Energy plan, plus great discounts on solar, smart thermostats and EV chargers For your commute Nab a great deal on ultra-low emission car leasing , plus our cycle to work scheme and public transport season ticket loans Want to hear about our full range of flexible benefits and progressive people policies? Our People Team can tell you everything you need to know. For your Belonging To find better ways to support our people, we need to listen to each other's experiences and find ways to build a truly inclusive and diverse workplace. As part of this, we have 8 Belonging Networks at OVO. Led by our people, for our people - so when you join OVO, you can play a part - big or small - with any of the Networks. It's up to you. Oh, and one last thing We'd be thrilled if you tick off all our boxes, yet we also believe it's just as important we tick off all of yours. And if you think you have most of what we're looking for but not every single thing, go ahead and hit apply . We'd still love to hear from you! If you have any additional requirements, there's a space to let us know on the application form; we want to make the process as easy and comfortable for you as possible.
Apr 10, 2026
Full time
Sponsorship: Unfortunately we are unable to offer sponsorship for this role. This role in 3 words: Build, Collaborate, Deliver Top 3 qualities for this role: Communication, Delivery Expertise, Amplification Where you'll work: Depending on the needs of your business area, we expect hub based people to be in the office at least once a week, and to go to OVO Connection events in-person. You'll be assigned to the closest one of our three hub offices, Bristol, Glasgow, or London; unless your role requires field-based work. Each hub has accessible spaces to park your laptop, is designed to inspire people, help them connect and bring big ideas to life. Everyone belongs at OVO: At OVO, we are on a mission to solve one of humanity's biggest challenges, the climate crisis. And we know it takes all of us to change the world. That's why we need diverse people from all abilities, gender identities, ethnicities, ages, sexual orientations, life experiences and backgrounds to join us. Teamworking for the planet: Everything we do here spins around Plan Zero. So, naturally, the team you'll be joining plays a gigantic role in making that happen. Here's how: As a Senior Software Engineer, you'll own the end-to-end development of complex systems and features that are core to our business. This role in a nutshell: You will lead technical initiatives, make critical design decisions, and mentor engineers to elevate the team's capabilities. Your expertise will be the driving force that ensures we build scalable, high-quality software that pushes our company forward. Your key outcomes will be: Technical Leadership & Architecture: Drive the architectural vision for key features, designing robust, scalable systems and contributing to the technical roadmap to influence the future direction of the product. Engineering Excellence & Quality: Champion best practices by writing clean, efficient code, leading rigorous code reviews, and implementing comprehensive automated testing to ensure high-quality, performant solutions. Mentorship & Team Growth: Lead and mentor other engineers, fostering a culture of continuous learning and collaboration through knowledge sharing, technical discussions, and constructive feedback. Project Execution & Delivery: Translate complex projects into clear, executable tasks within an Agile framework, proactively resolving blockers to ensure the timely and efficient delivery of team commitments. Community & Knowledge Sharing: Actively contribute to the wider engineering community by leading discussions, sharing expertise through documentation and workshops, and driving the exchange of best practices. You'll be successful here at OVO if you Professional Experience: Significant hands-on experience developing software in an agile environment, with a proven track record of delivering high-quality, clean code. Backend & Architecture: Expertise in designing and building scalable microservices-based architectures using languages like Node.js, Python, and TypeScript. Cloud & DevOps: Hands-on experience with cloud platforms (GCP, AWS), containerization (Docker, Kubernetes), and modern CI/CD practices. Frontend Development: Proficiency in modern frontend frameworks such as React.js and/or React Native. Leadership & Mentorship: Proven ability to lead technical initiatives and mentor other engineers, fostering a culture of technical excellence. Collaboration & Problem-Solving: Excellent communication and analytical skills, with the ability to thrive in a high-ownership, collaborative team environment. Let's talk about what's in it for you: We'll pay you between £55,000 and £84,923, depending on your specific skills and experience. We keep our pay ranges broad on purpose to give us, and you, flexibility to match your experience to our zero carbon mission. You'll be eligible for an on-target bonus of 15%. We have one OVO bonus plan that focuses on the collective performance of our people to deliver our Plan Zero goal. We also offer plenty of green benefits and progressive policies to help you feel like you belong at OVO and there's flex pay. We'll give you 9% Flex Pay on top of your salary - 4% of this is auto enrolled into your pension, and the remaining 5% is yours to do what you like with. You can use this to buy from our extensive range of flexible benefits, including our green benefits which we've put at the heart of our offering, add to your pension or even take it as cash. Here's a taster of what's on offer: For starters, you'll get 34 days of holiday (including bank holidays). For your health With benefits like a healthcare cash plan or private medical insurance depending on your career level, critical illness cover, life assurance, health assessments, and more For your wellbeing With gym membership, travel insurance, workplace ISA, will writing services, dental insurance, and more For your lifestyle With extra holiday buying, discount dining, home & tech loans, and supporting your favourite charities with give-as-you-earn donations For your home Get up to £400 towards any OVO Energy plan, plus great discounts on solar, smart thermostats and EV chargers For your commute Nab a great deal on ultra-low emission car leasing , plus our cycle to work scheme and public transport season ticket loans Want to hear about our full range of flexible benefits and progressive people policies? Our People Team can tell you everything you need to know. For your Belonging To find better ways to support our people, we need to listen to each other's experiences and find ways to build a truly inclusive and diverse workplace. As part of this, we have 8 Belonging Networks at OVO. Led by our people, for our people - so when you join OVO, you can play a part - big or small - with any of the Networks. It's up to you. Oh, and one last thing We'd be thrilled if you tick off all our boxes, yet we also believe it's just as important we tick off all of yours. And if you think you have most of what we're looking for but not every single thing, go ahead and hit apply . We'd still love to hear from you! If you have any additional requirements, there's a space to let us know on the application form; we want to make the process as easy and comfortable for you as possible.
Consultant Solution/Technical Architect Department: Consultancy Employment Type: Full Time Location: United Kingdom / Hybrid Description The Consultant Solution / Technical Architect role provides an opportunity to support a wide range of UK public sector and defence organisations on nationally critical digital programmes. You will provide consultancy to UK public sector and defence organisations to help them get maximum benefit from their ICT investments. You will analyse and develop solution and technical architectures based on the needs of the customer, including the associated technologies and operational processes. You will also research and assess new or unfamiliar technologies developments and routes to exploit these in support of our customers. Our position as a client-side advisor means that this role requires significant stakeholder engagement, dealing directly with the client, including in resolving day-day issues involved in assignment delivery and developing follow-on opportunities, so excellent interpersonal and influencing skills are essential. You will produce high-quality formal deliverables, sometimes to challenging timescales. Key Responsibilities Direct engagement with clients to understand their business drivers, requirements and constraints. Defining end-to-end solution architectures including Business, Information/Data, Applications and Infrastructure views. Development of solutions and product investigation/selection and supporting implementation in critical national infrastructure projects. Supporting large ICT procurements, including developing technical requirements and evaluating options. Skills, Knowledge and Expertise Essential: A track record in technical or solution architecture for digital projects or programmes is essential. The fast-changing nature of the ICT environment together with the need to resource multiple, ad-hoc assignments also requires the individual to be intellectually agile, proactive and self-motivated - with the ability to apply a structured approach to often unfamiliar subject matter. Desirable: Experience working on Digital or ICT programmes within the Defence and / or UK Public Sector. Solution Architecture development and review using industry standard frameworks or modelling standards (e.g. TOGAF, Archimate language) and tooling (such as BizzDesign, SparxEA or Archi). Experience with two or more of the following: Cloud Platforms: Understanding of Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), Oracle Cloud, or VMware VCF (with ability to design cloud-native or hybrid solutions). Suitable qualifications might include Cisco CCNP, Amazon Web Services Solution Architect, Microsoft Azure Fundamentals, Google Associate Cloud Engineer, VMware Certified Professional. A solid foundation in infrastructure. Understanding networking, integration of software defined networking within cloud, storage, virtualization, and server technologies such as Cisco, Dell, Palo Alto. Integration & APIs: REST, event-driven architectures, message brokers, API gateways. Data: data models, data flows, data governance, analytical platforms. Security: familiarity with NCSC and cloud security principles, identity & access management, zero trust, data protection and regulatory compliance. The nature of Actica's business means that a wide and varied background is preferable and the capability to adapt quickly to change is always required. You may not feel that your skills precisely match the requirements of this job specification; however, we encourage you to apply if this is a role that appeals to you. We require individuals with a broad skillset, so there may be other aspects of your experience which are equally important to us, but that are perhaps not listed in the role specification above. Actica aims to nurture a diverse workforce through inclusive working practices, promoting equality in our recruitment activities, and by employing candidates on the basis of merit. Discrimination against individuals on the grounds of protected characteristics is not permitted and we take steps to ensure that our staff are made aware of their legal responsibilities when making hiring decisions. We are keen to improve diversity within our organisation and the industries in which we work, and hope to employ individuals who share that view. While Guildford is our home base, consultants typically spend their time working remotely. For most clients, consultants spend 2-3 days working remotely and 2-3 days co-located with colleagues at a client's site or our office in Guildford. For some projects, there will a requirement to work up to 5 days a week co-located with colleagues. All work is team based, with a high level of engagement with other Actica and client team members. Candidates must be eligible and willing to gain UK Security Clearance to apply for this position.
Apr 10, 2026
Full time
Consultant Solution/Technical Architect Department: Consultancy Employment Type: Full Time Location: United Kingdom / Hybrid Description The Consultant Solution / Technical Architect role provides an opportunity to support a wide range of UK public sector and defence organisations on nationally critical digital programmes. You will provide consultancy to UK public sector and defence organisations to help them get maximum benefit from their ICT investments. You will analyse and develop solution and technical architectures based on the needs of the customer, including the associated technologies and operational processes. You will also research and assess new or unfamiliar technologies developments and routes to exploit these in support of our customers. Our position as a client-side advisor means that this role requires significant stakeholder engagement, dealing directly with the client, including in resolving day-day issues involved in assignment delivery and developing follow-on opportunities, so excellent interpersonal and influencing skills are essential. You will produce high-quality formal deliverables, sometimes to challenging timescales. Key Responsibilities Direct engagement with clients to understand their business drivers, requirements and constraints. Defining end-to-end solution architectures including Business, Information/Data, Applications and Infrastructure views. Development of solutions and product investigation/selection and supporting implementation in critical national infrastructure projects. Supporting large ICT procurements, including developing technical requirements and evaluating options. Skills, Knowledge and Expertise Essential: A track record in technical or solution architecture for digital projects or programmes is essential. The fast-changing nature of the ICT environment together with the need to resource multiple, ad-hoc assignments also requires the individual to be intellectually agile, proactive and self-motivated - with the ability to apply a structured approach to often unfamiliar subject matter. Desirable: Experience working on Digital or ICT programmes within the Defence and / or UK Public Sector. Solution Architecture development and review using industry standard frameworks or modelling standards (e.g. TOGAF, Archimate language) and tooling (such as BizzDesign, SparxEA or Archi). Experience with two or more of the following: Cloud Platforms: Understanding of Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), Oracle Cloud, or VMware VCF (with ability to design cloud-native or hybrid solutions). Suitable qualifications might include Cisco CCNP, Amazon Web Services Solution Architect, Microsoft Azure Fundamentals, Google Associate Cloud Engineer, VMware Certified Professional. A solid foundation in infrastructure. Understanding networking, integration of software defined networking within cloud, storage, virtualization, and server technologies such as Cisco, Dell, Palo Alto. Integration & APIs: REST, event-driven architectures, message brokers, API gateways. Data: data models, data flows, data governance, analytical platforms. Security: familiarity with NCSC and cloud security principles, identity & access management, zero trust, data protection and regulatory compliance. The nature of Actica's business means that a wide and varied background is preferable and the capability to adapt quickly to change is always required. You may not feel that your skills precisely match the requirements of this job specification; however, we encourage you to apply if this is a role that appeals to you. We require individuals with a broad skillset, so there may be other aspects of your experience which are equally important to us, but that are perhaps not listed in the role specification above. Actica aims to nurture a diverse workforce through inclusive working practices, promoting equality in our recruitment activities, and by employing candidates on the basis of merit. Discrimination against individuals on the grounds of protected characteristics is not permitted and we take steps to ensure that our staff are made aware of their legal responsibilities when making hiring decisions. We are keen to improve diversity within our organisation and the industries in which we work, and hope to employ individuals who share that view. While Guildford is our home base, consultants typically spend their time working remotely. For most clients, consultants spend 2-3 days working remotely and 2-3 days co-located with colleagues at a client's site or our office in Guildford. For some projects, there will a requirement to work up to 5 days a week co-located with colleagues. All work is team based, with a high level of engagement with other Actica and client team members. Candidates must be eligible and willing to gain UK Security Clearance to apply for this position.
Indicium AI is trusted by the world's leading enterprises to deliver AI into production at scale. We are a global AI-native consultancy with proven experience across Financial Services, Energy & Utilities, Healthcare & Life Sciences, Retail & CPG, and Manufacturing. From strategy, to build, to business outcomes, we unlock value from AI with unmatched clarity, speed, and capability. Powered by 600+ AI experts serving 50+ enterprise clients from 5 global locations, we work side by side with top partners - including Anthropic, Databricks, AWS, OpenAI, and Microsoft - to deliver modern AI with speed and measurable impact. Overview We're seeking an experienced AI Engineer to design, build, and deploy production grade AI systems powered by large language models. This role sits at the intersection of software engineering and AI implementation, focusing on building reliable, scalable applications rather than model training or research. You'll work with cutting edge LLM technologies, building advanced AI systems that solve complex real world problems through multi agent orchestration, intelligent tool integration, and robust production workflows. You'll be crafting the orchestration layer that makes these systems production ready-handling failure modes, optimizing agent collaboration, and ensuring consistent, reliable outputs at scale. You'll combine strong software engineering fundamentals with deep practical knowledge of LLM capabilities, limitations, and best practices for building non deterministic systems that users can trust. Responsibilities Design and implement production AI systems integrating LLMs, RAG pipelines, vector databases, and agentic frameworks. Create evaluation frameworks to measure and monitor system performance, accuracy, and reliability Build and maintain production grade AI applications with clean code, appropriate error handling, APIs, and data pipelines Experience implementing, maintaining and evaluating retrieval systems (vector/graph databases, ingestion pipelines, chunking strategies, retrieval techniques such as HyDE) Implement feedback loops and observability to continuously improve system performance Craft effective prompts and optimize for latency, cost, and quality across different model providers and configurations Required Skills and Experience Hands on experience building applications with LLM APIs and deep understanding of their capabilities, limitations, and failure modes Practical implementation of RAG architectures, vector databases, knowledge graphs and prompt engineering Experience building multi step LLM workflows and agentic systems using frameworks (e.g. SDK, Strands, Claude Agents SDK, LangGraph, etc.) or custom implementations where needed Strong Python (or other modern programming language) proficiency with production API/service development experience and cloud platform knowledge (AWS, GCP, Azure) Understanding of distributed systems, CI/CD, testing frameworks, and deployment pipelines Solid foundations and understanding of production grade, cloud native platform and infrastructure requirements, design, and implementation. Strong data manipulation skills (pandas, SQL) and understanding of evaluation strategies for LLM based systems Ability to work with ambiguity and optimise non deterministic systems through a process of experimentation and evaluation while balancing latency/cost/quality tradeoffs Nice to Haves Experience with AI assisted coding using tools like Claude Code, OpenAI Codex, Github Copilot Experience with fine tuning LLMs for domain specific applications and knowledge of when fine tuning is preferable to prompt engineering or RAG Experience with real time streaming, multimodal models, or search technologies like Elasticsearch Familiarity with model observability tools (LangSmith, Weights & Biases) and cost optimization strategies Experience in specialized verticals (financial services, energy, healthcare, legal, retail) with understanding of compliance, security, and responsible AI practices Experience with setting up tool calling agents, handoffs, and guardrails Why Indicium AI Fast growing start up organisation with huge opportunity for career growth Highly competitive salary package along with company bonus A hugely collaborative working environment where every person's viewpoint is considered - a chance to make your mark on the business from day one! Financially backed business meaning security and support for new initiatives and global market expansion Pick your own Gear! Macbooks, PCs, Accessories! Drive your development with a personal learning budget
Apr 10, 2026
Full time
Indicium AI is trusted by the world's leading enterprises to deliver AI into production at scale. We are a global AI-native consultancy with proven experience across Financial Services, Energy & Utilities, Healthcare & Life Sciences, Retail & CPG, and Manufacturing. From strategy, to build, to business outcomes, we unlock value from AI with unmatched clarity, speed, and capability. Powered by 600+ AI experts serving 50+ enterprise clients from 5 global locations, we work side by side with top partners - including Anthropic, Databricks, AWS, OpenAI, and Microsoft - to deliver modern AI with speed and measurable impact. Overview We're seeking an experienced AI Engineer to design, build, and deploy production grade AI systems powered by large language models. This role sits at the intersection of software engineering and AI implementation, focusing on building reliable, scalable applications rather than model training or research. You'll work with cutting edge LLM technologies, building advanced AI systems that solve complex real world problems through multi agent orchestration, intelligent tool integration, and robust production workflows. You'll be crafting the orchestration layer that makes these systems production ready-handling failure modes, optimizing agent collaboration, and ensuring consistent, reliable outputs at scale. You'll combine strong software engineering fundamentals with deep practical knowledge of LLM capabilities, limitations, and best practices for building non deterministic systems that users can trust. Responsibilities Design and implement production AI systems integrating LLMs, RAG pipelines, vector databases, and agentic frameworks. Create evaluation frameworks to measure and monitor system performance, accuracy, and reliability Build and maintain production grade AI applications with clean code, appropriate error handling, APIs, and data pipelines Experience implementing, maintaining and evaluating retrieval systems (vector/graph databases, ingestion pipelines, chunking strategies, retrieval techniques such as HyDE) Implement feedback loops and observability to continuously improve system performance Craft effective prompts and optimize for latency, cost, and quality across different model providers and configurations Required Skills and Experience Hands on experience building applications with LLM APIs and deep understanding of their capabilities, limitations, and failure modes Practical implementation of RAG architectures, vector databases, knowledge graphs and prompt engineering Experience building multi step LLM workflows and agentic systems using frameworks (e.g. SDK, Strands, Claude Agents SDK, LangGraph, etc.) or custom implementations where needed Strong Python (or other modern programming language) proficiency with production API/service development experience and cloud platform knowledge (AWS, GCP, Azure) Understanding of distributed systems, CI/CD, testing frameworks, and deployment pipelines Solid foundations and understanding of production grade, cloud native platform and infrastructure requirements, design, and implementation. Strong data manipulation skills (pandas, SQL) and understanding of evaluation strategies for LLM based systems Ability to work with ambiguity and optimise non deterministic systems through a process of experimentation and evaluation while balancing latency/cost/quality tradeoffs Nice to Haves Experience with AI assisted coding using tools like Claude Code, OpenAI Codex, Github Copilot Experience with fine tuning LLMs for domain specific applications and knowledge of when fine tuning is preferable to prompt engineering or RAG Experience with real time streaming, multimodal models, or search technologies like Elasticsearch Familiarity with model observability tools (LangSmith, Weights & Biases) and cost optimization strategies Experience in specialized verticals (financial services, energy, healthcare, legal, retail) with understanding of compliance, security, and responsible AI practices Experience with setting up tool calling agents, handoffs, and guardrails Why Indicium AI Fast growing start up organisation with huge opportunity for career growth Highly competitive salary package along with company bonus A hugely collaborative working environment where every person's viewpoint is considered - a chance to make your mark on the business from day one! Financially backed business meaning security and support for new initiatives and global market expansion Pick your own Gear! Macbooks, PCs, Accessories! Drive your development with a personal learning budget
AI Engineer - Agentic AI (Training & Enablement) Who we are:We deliver powerful data and AI solutions that minimize operational costs, strengthen resilience against risk, and uncover revenue opportunities. Clients can retain expert teams to drive lasting adoption while futureproofing their workforce with exceptional talent. Since 2016, more than 3,000 data & AI specialists have been created by removing systemic barriers to the tech industry. Incredible minds from all backgrounds are trained to become part of a diverse team of experts. Work spans a broad range of industries, including financial services, insurance, asset management, pharmaceuticals, energy and natural resources, retail, healthcare, manufacturing, and mobility. As a preferred partner of today's leading technology providers - such as Databricks, Snowflake and Collibra - delivery As an AI Engineer (Agentic AI) within our AI Engineering Training & Enablement capability, you will play a hands on role in developing, testing, and evolving agentic AI systems while contributing to the development and delivery of high quality technical training. This is a learning focused engineering role, combining practical AI engineering with the ability to contribute and deliver training labs, exercises, and technical artefacts that underpin our training offer. You will act as a technical contributor and subject matter specialist, supporting trainers, learners, and-where appropriate-commercial or client facing teams by demonstrating the real world credibility of our AI engineering practices. Key Responsibilities Agentic AI Engineering & Practical Enablement Design, build, and maintain diverse AI systems, ranging from classical machine learning pipelines to advanced agentic AI architectures (tool using agents, RAG, orchestration). Develop production ready reference implementations that demonstrate best practices in software engineering, including testing, version control, and CI/CD for AI applications. Create and maintain robust engineering environments, including containerised setups and cloud infrastructure, to support technical enablement and experimentation. Act as a subject matter expert on the full AI lifecycle, providing technical guidance on data preparation, model training, MLOps, and deployment strategies. Experiment with new agentic patterns, tools, and frameworks and translate learnings into practical training artefacts. Training Delivery & Learner Support Lead technical sessions and workshops covering the full spectrum of AI engineering, from foundational Python and statistics to deep learning and Generative AI. Mentor junior engineers and consultants, helping them debug complex issues across data pipelines, infrastructure configuration, and model development. Continuously refine technical artefacts and exercises to ensure they reflect current industry standards and realistic enterprise challenges. Engineering Standards, Evaluation & Responsible AI Embed evaluation practices into agentic AI builds, including benchmarking, regression testing, and failure mode inspection. Contribute to responsible AI patterns within training content (data boundaries, permissions, guardrails). Ensure training artefacts reflect modern engineering standards and realistic enterprise constraints. Collaboration & Capability Development Work closely with trainers, architects, and senior engineers to align training content with best practice. Contribute to internal policy and standards documentation, knowledge sharing, and centres of excellence. Support onboarding and enablement of new trainers or engineers. Lead internal demos, showcases, or events highlighting agentic AI capability. Key Requirements Experience 3-6+ years in software engineering, Data Science, or Machine Learning Engineering roles, with a track record of building and deploying production systems. Technical Skills Core Engineering: Expert proficiency in Python (writing modular, production quality code) and strong working knowledge of SQL and database design. Maths & Statistics: Strong grasp of probability theory, statistical analysis, and linear algebra, with the ability to apply these concepts to real world data problems. Classical Machine Learning: Deep practical knowledge of standard ML algorithms (regression, classification, clustering, ensemble methods) and libraries (scikit learn, pandas). Infrastructure & Containers: Hands on experience with containerisation (Docker) and orchestration (Kubernetes), including how to package and run AI applications in these environments. MLOps & Deployment: Proficiency with MLOps frameworks (specifically MLflow) for experiment tracking and model lifecycle management, as well as experience deploying models as APIs (FastAPI/Flask). Generative AI: Experience building applications with LLMs, including prompt engineering, RAG architectures, and vector databases. Rapid Prototyping: Proficiency in guiding AI coding assistants to rapidly generate and refine functional web interfaces (e.g., Streamlit, React) for agentic demos. Cloud Platforms: Proven experience developing and deploying AI solutions on Azure (specifically Azure ML and Cognitive Services) or equivalent AWS/GCP services. DevOps: Familiarity with modern DevOps practices, including Git based workflows and CI/CD pipelines (e.g., GitHub Actions, Azure DevOps). Agile Product Delivery: Familiarity with agile product delivery and requirements engineering practices. Ways of Working A genuine passion for upskilling others, with a patient and collaborative approach to code reviews and technical problem solving. Exceptional ability to explain complex engineering and mathematical concepts to audiences with varying levels of technical expertise. Collaborative approach suited to a team oriented, learning focused environment. Self directed and proactive - the ability to navigate uncertainty and ambiguity with business and technical stakeholders to co create value.
Apr 10, 2026
Full time
AI Engineer - Agentic AI (Training & Enablement) Who we are:We deliver powerful data and AI solutions that minimize operational costs, strengthen resilience against risk, and uncover revenue opportunities. Clients can retain expert teams to drive lasting adoption while futureproofing their workforce with exceptional talent. Since 2016, more than 3,000 data & AI specialists have been created by removing systemic barriers to the tech industry. Incredible minds from all backgrounds are trained to become part of a diverse team of experts. Work spans a broad range of industries, including financial services, insurance, asset management, pharmaceuticals, energy and natural resources, retail, healthcare, manufacturing, and mobility. As a preferred partner of today's leading technology providers - such as Databricks, Snowflake and Collibra - delivery As an AI Engineer (Agentic AI) within our AI Engineering Training & Enablement capability, you will play a hands on role in developing, testing, and evolving agentic AI systems while contributing to the development and delivery of high quality technical training. This is a learning focused engineering role, combining practical AI engineering with the ability to contribute and deliver training labs, exercises, and technical artefacts that underpin our training offer. You will act as a technical contributor and subject matter specialist, supporting trainers, learners, and-where appropriate-commercial or client facing teams by demonstrating the real world credibility of our AI engineering practices. Key Responsibilities Agentic AI Engineering & Practical Enablement Design, build, and maintain diverse AI systems, ranging from classical machine learning pipelines to advanced agentic AI architectures (tool using agents, RAG, orchestration). Develop production ready reference implementations that demonstrate best practices in software engineering, including testing, version control, and CI/CD for AI applications. Create and maintain robust engineering environments, including containerised setups and cloud infrastructure, to support technical enablement and experimentation. Act as a subject matter expert on the full AI lifecycle, providing technical guidance on data preparation, model training, MLOps, and deployment strategies. Experiment with new agentic patterns, tools, and frameworks and translate learnings into practical training artefacts. Training Delivery & Learner Support Lead technical sessions and workshops covering the full spectrum of AI engineering, from foundational Python and statistics to deep learning and Generative AI. Mentor junior engineers and consultants, helping them debug complex issues across data pipelines, infrastructure configuration, and model development. Continuously refine technical artefacts and exercises to ensure they reflect current industry standards and realistic enterprise challenges. Engineering Standards, Evaluation & Responsible AI Embed evaluation practices into agentic AI builds, including benchmarking, regression testing, and failure mode inspection. Contribute to responsible AI patterns within training content (data boundaries, permissions, guardrails). Ensure training artefacts reflect modern engineering standards and realistic enterprise constraints. Collaboration & Capability Development Work closely with trainers, architects, and senior engineers to align training content with best practice. Contribute to internal policy and standards documentation, knowledge sharing, and centres of excellence. Support onboarding and enablement of new trainers or engineers. Lead internal demos, showcases, or events highlighting agentic AI capability. Key Requirements Experience 3-6+ years in software engineering, Data Science, or Machine Learning Engineering roles, with a track record of building and deploying production systems. Technical Skills Core Engineering: Expert proficiency in Python (writing modular, production quality code) and strong working knowledge of SQL and database design. Maths & Statistics: Strong grasp of probability theory, statistical analysis, and linear algebra, with the ability to apply these concepts to real world data problems. Classical Machine Learning: Deep practical knowledge of standard ML algorithms (regression, classification, clustering, ensemble methods) and libraries (scikit learn, pandas). Infrastructure & Containers: Hands on experience with containerisation (Docker) and orchestration (Kubernetes), including how to package and run AI applications in these environments. MLOps & Deployment: Proficiency with MLOps frameworks (specifically MLflow) for experiment tracking and model lifecycle management, as well as experience deploying models as APIs (FastAPI/Flask). Generative AI: Experience building applications with LLMs, including prompt engineering, RAG architectures, and vector databases. Rapid Prototyping: Proficiency in guiding AI coding assistants to rapidly generate and refine functional web interfaces (e.g., Streamlit, React) for agentic demos. Cloud Platforms: Proven experience developing and deploying AI solutions on Azure (specifically Azure ML and Cognitive Services) or equivalent AWS/GCP services. DevOps: Familiarity with modern DevOps practices, including Git based workflows and CI/CD pipelines (e.g., GitHub Actions, Azure DevOps). Agile Product Delivery: Familiarity with agile product delivery and requirements engineering practices. Ways of Working A genuine passion for upskilling others, with a patient and collaborative approach to code reviews and technical problem solving. Exceptional ability to explain complex engineering and mathematical concepts to audiences with varying levels of technical expertise. Collaborative approach suited to a team oriented, learning focused environment. Self directed and proactive - the ability to navigate uncertainty and ambiguity with business and technical stakeholders to co create value.
Staff AI/ML Engineer Next-Gen SaaS Platform London (Hybrid) £100-145k We're hiring Staff AI/ML Engineers to help build cutting edge LLM powered systems and agentic AI workflows for a rapidly growing PE Backed business who have developed an AI Driven SaaS platform used by 1,000+ global customers. They're scaling rapidly, now with 100+ people in tech across London and the US, and recently brought on a Director of AI Engineering to drive innovation in with a brand new squad. This role in particular focuses on building production AI systems that analyse complex documents, extract structured knowledge, and automate high value workflows using modern LLM infrastructure. What you'll be doing: As their Staff AI/ML Engineer, you'll play a key role in designing and delivering advanced AI systems that power intelligent document analysis, knowledge extraction, and AI driven automation across the platform. Working closely with product and engineering teams, you'll help shape the company's AI architecture, tooling, and best practices while building scalable ML systems deployed in production. Your day to day will include: Design and deploy LLM powered systems for information extraction, document understanding, and knowledge retrieval Build agentic AI workflows to orchestrate LLMs, tools, and structured data for complex automation Develop and optimize ML pipelines and data workflows for training, evaluation, and deployment Leverage AI platforms like AWS Bedrock, SageMaker, and Vertex AI to scale capabilities Collaborate with engineers and product teams to integrate AI into the platform Mentor engineers and guide AI/ML best practices, architecture, and strategy What they're looking for in you: Strong experience in AI/ML engineering and deploying production ML systems Experience with LLMs, agentic AI frameworks, or information extraction pipelines Proficiency in Python (Java or Rust a bonus) Familiarity with cloud AI platforms (AWS, GCP, or Azure) and MLOps workflows Passion for using AI to solve real world problems What's in it for you Salary:up to £145,000 High impact role:work in a small, innovative team with a clear roadmap for career progression Flexible working:hybrid setup, typically two days per week in the Central London office Benefits:25 days annual leave, enhanced pension plan, medical insurance, and more If you're excited by the idea of building real world AI systems using LLMs, agentic workflows, and advanced information extraction techniques, this is a fantastic opportunity to join a company investing heavily in AI innovation and product development.
Apr 10, 2026
Full time
Staff AI/ML Engineer Next-Gen SaaS Platform London (Hybrid) £100-145k We're hiring Staff AI/ML Engineers to help build cutting edge LLM powered systems and agentic AI workflows for a rapidly growing PE Backed business who have developed an AI Driven SaaS platform used by 1,000+ global customers. They're scaling rapidly, now with 100+ people in tech across London and the US, and recently brought on a Director of AI Engineering to drive innovation in with a brand new squad. This role in particular focuses on building production AI systems that analyse complex documents, extract structured knowledge, and automate high value workflows using modern LLM infrastructure. What you'll be doing: As their Staff AI/ML Engineer, you'll play a key role in designing and delivering advanced AI systems that power intelligent document analysis, knowledge extraction, and AI driven automation across the platform. Working closely with product and engineering teams, you'll help shape the company's AI architecture, tooling, and best practices while building scalable ML systems deployed in production. Your day to day will include: Design and deploy LLM powered systems for information extraction, document understanding, and knowledge retrieval Build agentic AI workflows to orchestrate LLMs, tools, and structured data for complex automation Develop and optimize ML pipelines and data workflows for training, evaluation, and deployment Leverage AI platforms like AWS Bedrock, SageMaker, and Vertex AI to scale capabilities Collaborate with engineers and product teams to integrate AI into the platform Mentor engineers and guide AI/ML best practices, architecture, and strategy What they're looking for in you: Strong experience in AI/ML engineering and deploying production ML systems Experience with LLMs, agentic AI frameworks, or information extraction pipelines Proficiency in Python (Java or Rust a bonus) Familiarity with cloud AI platforms (AWS, GCP, or Azure) and MLOps workflows Passion for using AI to solve real world problems What's in it for you Salary:up to £145,000 High impact role:work in a small, innovative team with a clear roadmap for career progression Flexible working:hybrid setup, typically two days per week in the Central London office Benefits:25 days annual leave, enhanced pension plan, medical insurance, and more If you're excited by the idea of building real world AI systems using LLMs, agentic workflows, and advanced information extraction techniques, this is a fantastic opportunity to join a company investing heavily in AI innovation and product development.
White Collar Factory (95009), United Kingdom, London, London Staff Software Engineer - Back End About this role Do you love shaping the technical landscape and driving innovation across the organisation? Are you passionate about solving complex business problems and supporting multiple teams toward a shared technical vision? At Capital One, you'll be part of a community of technical leaders who drive engineering excellence, foster innovation, and deliver impactful solutions that meet real customer needs. What You'll Do Own and drive the technical strategy for a significant business outcome or technology domain, spanning multiple teams and influencing the overall technical direction Lead and coordinate the efforts of multiple teams, ensuring their collective work aligns with broader business objectives and technology strategy Proactively identify emerging patterns, define and evangelise best practices, and establish reusable frameworks that enhance engineering productivity Build and maintain strong relationships with key stakeholders, including senior leadership, product owners, and architects Represent Capital One in external technical forums, contributing to vendor/industry discussions Drive service quality standards and practices for your domain, guiding complex incident resolution Develop and advocate for strategies to proactively manage technical debt across multiple teams Actively mentor and develop engineers, fostering a culture of continuous learning What we're looking for Deep expertise in Java Deep expertise in system design and distributed architectures Track record of leading technical initiatives across multiple teams Strong experience with cloud platforms (AWS, Azure, GCP) Proven experience setting a multi-team technical vision and strategy Strong track record of technical leadership and influence without authority Experience driving engineering standards and best practices across organisations Experience of steering Communities of Practice or technical forums Strong business acumen and ability to translate technical concepts for various audiences Where and how you'll work This is a permanent position based in our London office. We have a hybrid working model which gives you flexibility to work from our office and from home. We're big on collaboration and connection, so you'll be based in our London office 3 days a week on Tuesdays, Wednesdays and Thursdays. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Enabled - focused on supporting associates with disabilities and neurodiversity Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.
Apr 10, 2026
Full time
White Collar Factory (95009), United Kingdom, London, London Staff Software Engineer - Back End About this role Do you love shaping the technical landscape and driving innovation across the organisation? Are you passionate about solving complex business problems and supporting multiple teams toward a shared technical vision? At Capital One, you'll be part of a community of technical leaders who drive engineering excellence, foster innovation, and deliver impactful solutions that meet real customer needs. What You'll Do Own and drive the technical strategy for a significant business outcome or technology domain, spanning multiple teams and influencing the overall technical direction Lead and coordinate the efforts of multiple teams, ensuring their collective work aligns with broader business objectives and technology strategy Proactively identify emerging patterns, define and evangelise best practices, and establish reusable frameworks that enhance engineering productivity Build and maintain strong relationships with key stakeholders, including senior leadership, product owners, and architects Represent Capital One in external technical forums, contributing to vendor/industry discussions Drive service quality standards and practices for your domain, guiding complex incident resolution Develop and advocate for strategies to proactively manage technical debt across multiple teams Actively mentor and develop engineers, fostering a culture of continuous learning What we're looking for Deep expertise in Java Deep expertise in system design and distributed architectures Track record of leading technical initiatives across multiple teams Strong experience with cloud platforms (AWS, Azure, GCP) Proven experience setting a multi-team technical vision and strategy Strong track record of technical leadership and influence without authority Experience driving engineering standards and best practices across organisations Experience of steering Communities of Practice or technical forums Strong business acumen and ability to translate technical concepts for various audiences Where and how you'll work This is a permanent position based in our London office. We have a hybrid working model which gives you flexibility to work from our office and from home. We're big on collaboration and connection, so you'll be based in our London office 3 days a week on Tuesdays, Wednesdays and Thursdays. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Enabled - focused on supporting associates with disabilities and neurodiversity Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.
Job Title: Senior Backend Engineer Location: Dunton Essex - 4 days minimum mandatory onsite Rate: £67.15ph Umbrella Co Basis (Inside IR35) Employment Type: Contract (31.12.26) Hours: Standard 37.5 Hours Per Week Reference: F56475 The Senior Backend Engineer plays a pivotal role in driving the technical success in our backend teams. This position involves architecting scalable, resilient, and secure backend solutions and overseeing the technical completion of critical development tasks, often in ambiguous situations. The Senior Backend Engineer is responsible for ensuring that backend code and architectural reviews are aligned with organisational goals, facilitating productive technical discussions, and making decisions to resolve complex backend engineering issues effectively. In this role, the Senior Backend Engineer supports the technical direction for backend development, offering guidance to team members and exemplifying technical excellence in backend practices. Collaboration with frontend, DevOps, and other engineering teams is essential to ensure technical alignment across the organisation. The role also involves leading efforts to implement process improvements within backend development workflows, thereby enhancing productivity and output quality through innovation and collaboration. Strong expertise in backend programming languages (e.g., Java, Python, Go, Node.js) is essential, alongside responsibility for creating and reviewing technical designs for complex backend systems that meet both business goals and technical feasibility. Managing relationships with key stakeholders, balancing their needs with technical constraints, and facilitating open technical communication are also crucial aspects of this role. Skills Required: Extensive multi-year engineering experience specialising in designing, developing, and maintaining robust backend systems and services. Deep expertise in version control systems (e.g., Git/GitHub) and CI/CD tools (e.g., Cloudbuild), including defining and optimising pipelines for backend deployments. Proven proficiency with cloud platforms, particularly GCP, including experience with infrastructure as code and cloud-native services. Demonstrated leadership and practical experience in architectural practices, including designing scalable, resilient, and secure backend solutions. Customer-focused with a strong commitment to team collaboration and driving successful outcomes. Strong drive for delivering high-quality, performant, and value-added results. Demonstrated commitment to quality assurance and adherence to delivery timelines. Ability to autonomously manage multiple complex assignments with minimal direction, providing guidance to junior team members. Ability to thrive and contribute effectively within a highly regulated, financial environment. Willingness to be flexible in terms of tasks and timings to meet project demands. Significant experience performing and leading development reviews, ensuring code quality, maintainability, and adherence to best practices. Expertise in Test Driven Development (TDD) and Behaviour Driven Development (BDD) methodologies for backend services. Strong appreciation and practical application of architectural standards and processes essential in large-scale organisations. Java Spring Boot JUnit GCP (Google Cloud Platform) GitHub / Jetbrains products (e.g., IntelliJ IDEA) Fossa (or similar open-source licence compliance tools) SonarQube (or similar code quality analysis tools) Checkmarx (or similar static application security testing tools) Cycode (or similar software supply chain security platforms) Skills preferred: Automotive finance or consumer lending background Experience with regulatory compliance requirements (FCA, PRA guidelines) Knowledge automotive manufacturer finance operations Education Required: STEM degree (Mathematics, Statistics, Computer Science, Engineering) or equivalent experience Additional Information: The preference on main programming language would be Java but open to languages such as python, go, .net. Specific language is not essential but good experience in backend technologies is. Preference for being able to work in a highly regulated environment, automotive finance experience would be a bonus but not a requirement. Inside IR35 Minimum 4 days a week in Dunton Office No terminology within this advert is intended to unlawfully discriminate on the grounds of age, sex, race or disability and we welcome all applications. Our Clients are unable to provide sponsorship for Tier 2 General Visas; therefore, only candidates eligible to work in the UK need apply!
Apr 10, 2026
Full time
Job Title: Senior Backend Engineer Location: Dunton Essex - 4 days minimum mandatory onsite Rate: £67.15ph Umbrella Co Basis (Inside IR35) Employment Type: Contract (31.12.26) Hours: Standard 37.5 Hours Per Week Reference: F56475 The Senior Backend Engineer plays a pivotal role in driving the technical success in our backend teams. This position involves architecting scalable, resilient, and secure backend solutions and overseeing the technical completion of critical development tasks, often in ambiguous situations. The Senior Backend Engineer is responsible for ensuring that backend code and architectural reviews are aligned with organisational goals, facilitating productive technical discussions, and making decisions to resolve complex backend engineering issues effectively. In this role, the Senior Backend Engineer supports the technical direction for backend development, offering guidance to team members and exemplifying technical excellence in backend practices. Collaboration with frontend, DevOps, and other engineering teams is essential to ensure technical alignment across the organisation. The role also involves leading efforts to implement process improvements within backend development workflows, thereby enhancing productivity and output quality through innovation and collaboration. Strong expertise in backend programming languages (e.g., Java, Python, Go, Node.js) is essential, alongside responsibility for creating and reviewing technical designs for complex backend systems that meet both business goals and technical feasibility. Managing relationships with key stakeholders, balancing their needs with technical constraints, and facilitating open technical communication are also crucial aspects of this role. Skills Required: Extensive multi-year engineering experience specialising in designing, developing, and maintaining robust backend systems and services. Deep expertise in version control systems (e.g., Git/GitHub) and CI/CD tools (e.g., Cloudbuild), including defining and optimising pipelines for backend deployments. Proven proficiency with cloud platforms, particularly GCP, including experience with infrastructure as code and cloud-native services. Demonstrated leadership and practical experience in architectural practices, including designing scalable, resilient, and secure backend solutions. Customer-focused with a strong commitment to team collaboration and driving successful outcomes. Strong drive for delivering high-quality, performant, and value-added results. Demonstrated commitment to quality assurance and adherence to delivery timelines. Ability to autonomously manage multiple complex assignments with minimal direction, providing guidance to junior team members. Ability to thrive and contribute effectively within a highly regulated, financial environment. Willingness to be flexible in terms of tasks and timings to meet project demands. Significant experience performing and leading development reviews, ensuring code quality, maintainability, and adherence to best practices. Expertise in Test Driven Development (TDD) and Behaviour Driven Development (BDD) methodologies for backend services. Strong appreciation and practical application of architectural standards and processes essential in large-scale organisations. Java Spring Boot JUnit GCP (Google Cloud Platform) GitHub / Jetbrains products (e.g., IntelliJ IDEA) Fossa (or similar open-source licence compliance tools) SonarQube (or similar code quality analysis tools) Checkmarx (or similar static application security testing tools) Cycode (or similar software supply chain security platforms) Skills preferred: Automotive finance or consumer lending background Experience with regulatory compliance requirements (FCA, PRA guidelines) Knowledge automotive manufacturer finance operations Education Required: STEM degree (Mathematics, Statistics, Computer Science, Engineering) or equivalent experience Additional Information: The preference on main programming language would be Java but open to languages such as python, go, .net. Specific language is not essential but good experience in backend technologies is. Preference for being able to work in a highly regulated environment, automotive finance experience would be a bonus but not a requirement. Inside IR35 Minimum 4 days a week in Dunton Office No terminology within this advert is intended to unlawfully discriminate on the grounds of age, sex, race or disability and we welcome all applications. Our Clients are unable to provide sponsorship for Tier 2 General Visas; therefore, only candidates eligible to work in the UK need apply!
Come join the company that is reinventing cloud security and empowering businesses to thrive in the cloud. As the fastest-growing startup ever, Wiz is on a mission to help organizations secure cloud environments that will accelerate their businesses. Trusted by security teams all over the world, we have a proven track record of success and a culture that values world-class talent. Our Wizards from over 20 countries work together to protect the infrastructure of our hundreds of customers, including over 50% of the Fortune 100, who trust us to scan and secure over 230 billion files daily. We're the leading player in a massive and growing market, but it's still early enough for you to make a significant impact. At Wiz, you'll have the freedom to think creatively, dream big, and use your full range of skills to contribute to our record growth. Come join our team and help us create secure cloud environments that allow the best companies to move faster. SUMMARY We're looking an experienced Expert Backend Engineer to join our expanding R&D team and help drive the growth of Wiz. In this role, you'll be responsible for developing and maintaining large-scale distributed components that power Wiz. We're looking for candidates who are passionate about tackling scaling challenges and take pride in writing clean, efficient, and maintainable code. Join us in our mission to secure the cloud. Our tech stack includes a multi-cloud architecture (Azure, AWS, GCP, OCI, Alibaba Cloud) with Golang, GraphQL, PostgreSQL, Neptune, Docker, Kubernetes, and more. WHAT YOU'LL DO End-to-end development of backend software components (research, design, development, testing, rollout, monitoring) Contributing to technological and architectural decisions Conducting design and code reviews Analyzing and improving efficiency, scalability, and stability of various backend system components Collaborating with cross-functional teams (e.g., Frontend, DevOps) to deliver top-tier features. WHAT YOU'LL BRING 8+ years of experience with Backend Engineering in a high-level programming language (e.g. Java, C#, Golang) Experience with cloud platforms (e.g. AWS, GCP, Azure) Experience with microservices based architecture Experience with databases and message queue technologies Experience with continuous integration and deployment (CI/CD) Bachelor of Science in Computer Science/Software Engineering or related field Applicants must have the legal right to work in the country where the position is based, without the need for visa sponsorship. This role does not offer visa sponsorship. Wiz is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. By submitting your application, you acknowledge that Wiz will process your personal data in accordance with Wiz's Privacy Policy.
Apr 10, 2026
Full time
Come join the company that is reinventing cloud security and empowering businesses to thrive in the cloud. As the fastest-growing startup ever, Wiz is on a mission to help organizations secure cloud environments that will accelerate their businesses. Trusted by security teams all over the world, we have a proven track record of success and a culture that values world-class talent. Our Wizards from over 20 countries work together to protect the infrastructure of our hundreds of customers, including over 50% of the Fortune 100, who trust us to scan and secure over 230 billion files daily. We're the leading player in a massive and growing market, but it's still early enough for you to make a significant impact. At Wiz, you'll have the freedom to think creatively, dream big, and use your full range of skills to contribute to our record growth. Come join our team and help us create secure cloud environments that allow the best companies to move faster. SUMMARY We're looking an experienced Expert Backend Engineer to join our expanding R&D team and help drive the growth of Wiz. In this role, you'll be responsible for developing and maintaining large-scale distributed components that power Wiz. We're looking for candidates who are passionate about tackling scaling challenges and take pride in writing clean, efficient, and maintainable code. Join us in our mission to secure the cloud. Our tech stack includes a multi-cloud architecture (Azure, AWS, GCP, OCI, Alibaba Cloud) with Golang, GraphQL, PostgreSQL, Neptune, Docker, Kubernetes, and more. WHAT YOU'LL DO End-to-end development of backend software components (research, design, development, testing, rollout, monitoring) Contributing to technological and architectural decisions Conducting design and code reviews Analyzing and improving efficiency, scalability, and stability of various backend system components Collaborating with cross-functional teams (e.g., Frontend, DevOps) to deliver top-tier features. WHAT YOU'LL BRING 8+ years of experience with Backend Engineering in a high-level programming language (e.g. Java, C#, Golang) Experience with cloud platforms (e.g. AWS, GCP, Azure) Experience with microservices based architecture Experience with databases and message queue technologies Experience with continuous integration and deployment (CI/CD) Bachelor of Science in Computer Science/Software Engineering or related field Applicants must have the legal right to work in the country where the position is based, without the need for visa sponsorship. This role does not offer visa sponsorship. Wiz is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. By submitting your application, you acknowledge that Wiz will process your personal data in accordance with Wiz's Privacy Policy.
Introduction Saab UK is part of Scandinavia's largest defence company, bringing together the best of Swedish and British innovation. Saab offers world-leading solutions and services in defence, aviation, space, and civil security to keep people and society safe. Our UK presence has been growing at pace, meaning we can offer a wide range of opportunities for personal fulfilment and career growth. We currently employ over 600 people across eight sites in the UK, and our specialisations include software engineering, underwater robotics, radars, AI, and armed forces training. The Role: This is an initial 6 month contract role within our UK IT Business Unit. The IT Solution Architect will be responsible for designing and implementing technology solutions that align with business objectives and technical requirements. This role bridges the gap between business needs and IT capabilities, ensuring that solutions are scalable, secure, and cost-effective. The Solution Architect works closely with stakeholders, developers, and project managers to deliver robust architectures that support organisational goals. Key Responsibilities: Solution Design & Architecture to a high standard. Develop high-level and detailed solution architectures for IT systems and applications. Ensure solutions comply with enterprise architecture standards, security policies, and regulatory requirements. Create architectural diagrams, models, and documentation for proposed solutions. Stakeholder Engagement Collaborate with business analysts, project managers, and technical teams to understand requirements. Present architectural solutions to stakeholders and obtain buy-in. Technology Evaluation Assess emerging technologies and recommend adoption where appropriate. Conduct feasibility studies and cost-benefit analyses for proposed solutions. Governance & Standards Define and enforce architectural principles, guidelines, and best practices. Ensure consistency and integration across systems and platforms. Implementation Support Provide technical leadership during solution implementation. Troubleshoot architectural issues and guide development teams. Perform Risk Management. Identify potential risks in solution design and propose mitigation strategies. Ensure compliance with data protection and cybersecurity standards. Qualifications and Skills: Bachelor's degree in Computer Science, Information Technology, or related field. 7+ years in IT roles, with at least 3 years in solution architecture. Experience in large-scale system design and implementation. Certifications (Preferred). TOGAF, AWS/Azure Solution Architect, ITIL. Knowledge of enterprise architecture frameworks (e.g., TOGAF, Zachman). Proficiency in cloud platforms (AWS, Azure, GCP) and hybrid architectures. Experience with APIs, microservices, and integration patterns. Understanding of networking, security, and infrastructure principles. Analytical & Problem-Solving. Ability to translate business requirements into technical solutions. Strong analytical skills for evaluating complex systems. Communication & Leadership. Excellent verbal and written communication skills. Ability to influence and negotiate with stakeholders at all levels. Self-motivated, resilient and able to work under pressure. Excellent communication and presentation skills. By submitting an application to Saab UK you consent to undertaking workforce screening activities that may include but are not limited to: Baseline Personnel Security checks, National Security Vetting, reference checks, verification of working rights and in all circumstances preferred candidates will be placed through a security interview.
Apr 10, 2026
Contractor
Introduction Saab UK is part of Scandinavia's largest defence company, bringing together the best of Swedish and British innovation. Saab offers world-leading solutions and services in defence, aviation, space, and civil security to keep people and society safe. Our UK presence has been growing at pace, meaning we can offer a wide range of opportunities for personal fulfilment and career growth. We currently employ over 600 people across eight sites in the UK, and our specialisations include software engineering, underwater robotics, radars, AI, and armed forces training. The Role: This is an initial 6 month contract role within our UK IT Business Unit. The IT Solution Architect will be responsible for designing and implementing technology solutions that align with business objectives and technical requirements. This role bridges the gap between business needs and IT capabilities, ensuring that solutions are scalable, secure, and cost-effective. The Solution Architect works closely with stakeholders, developers, and project managers to deliver robust architectures that support organisational goals. Key Responsibilities: Solution Design & Architecture to a high standard. Develop high-level and detailed solution architectures for IT systems and applications. Ensure solutions comply with enterprise architecture standards, security policies, and regulatory requirements. Create architectural diagrams, models, and documentation for proposed solutions. Stakeholder Engagement Collaborate with business analysts, project managers, and technical teams to understand requirements. Present architectural solutions to stakeholders and obtain buy-in. Technology Evaluation Assess emerging technologies and recommend adoption where appropriate. Conduct feasibility studies and cost-benefit analyses for proposed solutions. Governance & Standards Define and enforce architectural principles, guidelines, and best practices. Ensure consistency and integration across systems and platforms. Implementation Support Provide technical leadership during solution implementation. Troubleshoot architectural issues and guide development teams. Perform Risk Management. Identify potential risks in solution design and propose mitigation strategies. Ensure compliance with data protection and cybersecurity standards. Qualifications and Skills: Bachelor's degree in Computer Science, Information Technology, or related field. 7+ years in IT roles, with at least 3 years in solution architecture. Experience in large-scale system design and implementation. Certifications (Preferred). TOGAF, AWS/Azure Solution Architect, ITIL. Knowledge of enterprise architecture frameworks (e.g., TOGAF, Zachman). Proficiency in cloud platforms (AWS, Azure, GCP) and hybrid architectures. Experience with APIs, microservices, and integration patterns. Understanding of networking, security, and infrastructure principles. Analytical & Problem-Solving. Ability to translate business requirements into technical solutions. Strong analytical skills for evaluating complex systems. Communication & Leadership. Excellent verbal and written communication skills. Ability to influence and negotiate with stakeholders at all levels. Self-motivated, resilient and able to work under pressure. Excellent communication and presentation skills. By submitting an application to Saab UK you consent to undertaking workforce screening activities that may include but are not limited to: Baseline Personnel Security checks, National Security Vetting, reference checks, verification of working rights and in all circumstances preferred candidates will be placed through a security interview.
Engineering Lead - AI-SaaS Platform Tripled ARR in 12 months Remote-first (UK) with hybrid London office option Up to £150,000 per annum plus equity Typescript/Node, React, GCP/AWS The Engineering Lead We're hiring Engineering Leads to guide small, focused squads (up to 4 Engineers) while remaining hands-on in the codebase. This isn't a "people manager only" role - around 70% of your time will be technical, leading the design and build of AI-native solutions with real-time infrastructure and a seamless frontend experience. The remainder will be spent coaching, mentoring, and supporting your team's growth. For the first three months, you'll contribute as an individual contributor, embedding yourself in the product and tech stack before taking on leadership responsibilities. What you'll do Lead a small team of Engineers while staying deeply technical Contribute across the stack (React, Node.js/Typescript, GCP) with backend experience highly valued Shape and deliver high quality features that scale with thousands of customers Advocate for engineering best practices and help raise the technical bar Collaborate with product and design to deliver exceptional user experiences What you'll bring Proven experience leading small teams while still contributing technically Strong backend development expertise (Node.js, Typescript; Go a plus) Familiarity with cloud native architectures (GCP or AWS) Excellent communication skills and a collaborative mindset A balance of technical depth and people first leadership This is an amazing opportunity for an Engineering Lead to join a fast growing scale up as they take the next leap in their journey. Please reply with your CV or call Simon for a chat.
Apr 10, 2026
Full time
Engineering Lead - AI-SaaS Platform Tripled ARR in 12 months Remote-first (UK) with hybrid London office option Up to £150,000 per annum plus equity Typescript/Node, React, GCP/AWS The Engineering Lead We're hiring Engineering Leads to guide small, focused squads (up to 4 Engineers) while remaining hands-on in the codebase. This isn't a "people manager only" role - around 70% of your time will be technical, leading the design and build of AI-native solutions with real-time infrastructure and a seamless frontend experience. The remainder will be spent coaching, mentoring, and supporting your team's growth. For the first three months, you'll contribute as an individual contributor, embedding yourself in the product and tech stack before taking on leadership responsibilities. What you'll do Lead a small team of Engineers while staying deeply technical Contribute across the stack (React, Node.js/Typescript, GCP) with backend experience highly valued Shape and deliver high quality features that scale with thousands of customers Advocate for engineering best practices and help raise the technical bar Collaborate with product and design to deliver exceptional user experiences What you'll bring Proven experience leading small teams while still contributing technically Strong backend development expertise (Node.js, Typescript; Go a plus) Familiarity with cloud native architectures (GCP or AWS) Excellent communication skills and a collaborative mindset A balance of technical depth and people first leadership This is an amazing opportunity for an Engineering Lead to join a fast growing scale up as they take the next leap in their journey. Please reply with your CV or call Simon for a chat.
You will need to login before you can apply for a job. Site Name: Cambridge 300 Technology Square, London The Stanley Building, USA - Pennsylvania - Upper Providence Posted Date: Mar 6 2026 At GSK, we unite science, technology and talent to get ahead of disease together. Our ambition is to positively impact the health of 2.5 billion people over the next decade. We are building a future where state of the art software, AI, and machine learning enable us to discover new therapies and personalized medicines that drive better outcomes for patients at reduced cost and with fewer side effects. The Applied AI team sits at the intersection of business need and technical capability within the AI/ML department. We directly support business units with AI/ML related challenges, acting as ambassadors for responsible AI across the organization. This role is your opportunity to work at the frontier of applied machine learning in one of the world's leading biopharma companies, translating cutting edge AI research into real scientific and business impact. About the Role As a Senior Applied AI Engineer, you will be embedded within cross functional teams to deliver practical, high impact AI/ML solutions aligned with GSK's R&D and business priorities. You will partner closely with scientists, product teams, and domain experts to design, build, and deploy machine learning models and AI powered tools that accelerate drug discovery, improve decision making, and enable responsible use of AI across the enterprise. This role is hands on and consultative in equal measure. You will evaluate use case feasibility, prototype solutions rapidly, architect model integrations, and transfer knowledge so that partner teams can operate independently. You will also contribute to the development of reusable patterns, baseline models, and tested pipelines for common AI/ML tasks within GSK's approved. Key Responsibilities Advisory & Solution Design Provide tailored guidance to business units on AI/ML use cases, feasibility, model selection, and deployment options, particularly in scientific domains without active AI/ML engineering efforts. Co design prototypes and proof of concepts (PoCs) with product and domain teams to validate ideas quickly and de risk larger investments. Translate complex stakeholder requirements into well scoped technical solutions with clear success criteria and handover plans. Model Development & Deployment Build, train, evaluate, and iterate on ML models for real world scientific and business problems-including but not limited to NLP/LLM applications, knowledge graphs, causal inference, computer vision, and predictive modeling. Package trained models into production ready services (APIs, containerized deployments) using GSK's cloud infrastructure (GCP/AWS/Azure). Develop and maintain agentic AI systems, multi agent architectures, and LLM based tools where appropriate. Share reusable patterns, baseline models, and tested pipelines for common AI/ML tasks. Embed privacy, ethics, and regulatory considerations into every engagement from the outset. Knowledge Transfer & Enablement Run workshops, seminars, and hands on training sessions to increase AI literacy across the organization. Embed within business/research units for time limited engagements (typically 6 8 weeks) to accelerate delivery and transfer skills. Communicate relevant issues, requests, and opportunities from business units back to AI/ML product leads. Basic Qualifications Bachelor's degree in Computer Science, Machine Learning, Computational Biology, Bioinformatics, Statistics, Engineering, or a related quantitative discipline; OR equivalent professional experience as a software/ML engineer. 3+ years of professional experience developing and deploying machine learning models (with a Bachelor's); 2+ years with a Master's or PhD. Expertise in Python, including ML/Data Science libraries (PyTorch, TensorFlow, JAX, scikit learn, pandas, numpy). Experience with cloud platforms (GCP, AWS, or Azure) and containerization (Docker, Kubernetes). Strong understanding of ML fundamentals: supervised/unsupervised learning, deep learning, model evaluation, feature engineering, and experiment tracking. Experience working in cross functional teams and communicating technical concepts to non technical stakeholders. Experience working in healthcare, pharma, or biological domains. Preferred Qualifications Experience in pharma, biotech, or life sciences-particularly in drug discovery, genomics, clinical data, or biological data analysis. Hands on experience building LLM based applications, agentic AI systems, RAG pipelines, or multi agent architectures (e.g., LangChain, LangGraph, AutoGen). Experience with knowledge graph construction, causal inference, or large perturbation models. Familiarity with single cell RNA seq, spatial transcriptomics, CRISPR assay data, or other high dimensional biological datasets. Experience with MLOps practices: CI/CD for ML, model monitoring, experiment tracking (MLflow, Weights & Biases), and reproducible research workflows. Contributions to open source ML/AI projects or peer reviewed publications in applied ML. Background or demonstrated interest in responsible AI, AI ethics, or model governance. Strong software engineering practices: version control (Git/GitHub), code review, testing, and documentation. Experience evaluating and integrating third party AI/ML vendor tools and platforms. Salary & Benefits If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges $160,050 to $266,750. The US salary ranges take into account a number of factors including work location within the US market, the candidate's skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. If salary ranges are not displayed in the job posting for a specific country, the relevant compensation will be discussed during the recruitment process. Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. GSK is committed to creating an environment where our people can thrive and focus on what matters most. Equal Opportunity Employer GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. Important Notice to Employment Businesses/Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. In the absence of such written authorization, any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. GSK strives to accommodate applicants with disabilities and provide equal access. If you require an accommodation or other assistance to apply for a job at GSK, please contact the appropriate Recruitment Staff by emailing us at . GSK may be required to capture and report expenses incurred on your behalf in the event you are afforded an interview for employment. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at
Apr 10, 2026
Full time
You will need to login before you can apply for a job. Site Name: Cambridge 300 Technology Square, London The Stanley Building, USA - Pennsylvania - Upper Providence Posted Date: Mar 6 2026 At GSK, we unite science, technology and talent to get ahead of disease together. Our ambition is to positively impact the health of 2.5 billion people over the next decade. We are building a future where state of the art software, AI, and machine learning enable us to discover new therapies and personalized medicines that drive better outcomes for patients at reduced cost and with fewer side effects. The Applied AI team sits at the intersection of business need and technical capability within the AI/ML department. We directly support business units with AI/ML related challenges, acting as ambassadors for responsible AI across the organization. This role is your opportunity to work at the frontier of applied machine learning in one of the world's leading biopharma companies, translating cutting edge AI research into real scientific and business impact. About the Role As a Senior Applied AI Engineer, you will be embedded within cross functional teams to deliver practical, high impact AI/ML solutions aligned with GSK's R&D and business priorities. You will partner closely with scientists, product teams, and domain experts to design, build, and deploy machine learning models and AI powered tools that accelerate drug discovery, improve decision making, and enable responsible use of AI across the enterprise. This role is hands on and consultative in equal measure. You will evaluate use case feasibility, prototype solutions rapidly, architect model integrations, and transfer knowledge so that partner teams can operate independently. You will also contribute to the development of reusable patterns, baseline models, and tested pipelines for common AI/ML tasks within GSK's approved. Key Responsibilities Advisory & Solution Design Provide tailored guidance to business units on AI/ML use cases, feasibility, model selection, and deployment options, particularly in scientific domains without active AI/ML engineering efforts. Co design prototypes and proof of concepts (PoCs) with product and domain teams to validate ideas quickly and de risk larger investments. Translate complex stakeholder requirements into well scoped technical solutions with clear success criteria and handover plans. Model Development & Deployment Build, train, evaluate, and iterate on ML models for real world scientific and business problems-including but not limited to NLP/LLM applications, knowledge graphs, causal inference, computer vision, and predictive modeling. Package trained models into production ready services (APIs, containerized deployments) using GSK's cloud infrastructure (GCP/AWS/Azure). Develop and maintain agentic AI systems, multi agent architectures, and LLM based tools where appropriate. Share reusable patterns, baseline models, and tested pipelines for common AI/ML tasks. Embed privacy, ethics, and regulatory considerations into every engagement from the outset. Knowledge Transfer & Enablement Run workshops, seminars, and hands on training sessions to increase AI literacy across the organization. Embed within business/research units for time limited engagements (typically 6 8 weeks) to accelerate delivery and transfer skills. Communicate relevant issues, requests, and opportunities from business units back to AI/ML product leads. Basic Qualifications Bachelor's degree in Computer Science, Machine Learning, Computational Biology, Bioinformatics, Statistics, Engineering, or a related quantitative discipline; OR equivalent professional experience as a software/ML engineer. 3+ years of professional experience developing and deploying machine learning models (with a Bachelor's); 2+ years with a Master's or PhD. Expertise in Python, including ML/Data Science libraries (PyTorch, TensorFlow, JAX, scikit learn, pandas, numpy). Experience with cloud platforms (GCP, AWS, or Azure) and containerization (Docker, Kubernetes). Strong understanding of ML fundamentals: supervised/unsupervised learning, deep learning, model evaluation, feature engineering, and experiment tracking. Experience working in cross functional teams and communicating technical concepts to non technical stakeholders. Experience working in healthcare, pharma, or biological domains. Preferred Qualifications Experience in pharma, biotech, or life sciences-particularly in drug discovery, genomics, clinical data, or biological data analysis. Hands on experience building LLM based applications, agentic AI systems, RAG pipelines, or multi agent architectures (e.g., LangChain, LangGraph, AutoGen). Experience with knowledge graph construction, causal inference, or large perturbation models. Familiarity with single cell RNA seq, spatial transcriptomics, CRISPR assay data, or other high dimensional biological datasets. Experience with MLOps practices: CI/CD for ML, model monitoring, experiment tracking (MLflow, Weights & Biases), and reproducible research workflows. Contributions to open source ML/AI projects or peer reviewed publications in applied ML. Background or demonstrated interest in responsible AI, AI ethics, or model governance. Strong software engineering practices: version control (Git/GitHub), code review, testing, and documentation. Experience evaluating and integrating third party AI/ML vendor tools and platforms. Salary & Benefits If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges $160,050 to $266,750. The US salary ranges take into account a number of factors including work location within the US market, the candidate's skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. If salary ranges are not displayed in the job posting for a specific country, the relevant compensation will be discussed during the recruitment process. Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. GSK is committed to creating an environment where our people can thrive and focus on what matters most. Equal Opportunity Employer GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. Important Notice to Employment Businesses/Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. In the absence of such written authorization, any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. GSK strives to accommodate applicants with disabilities and provide equal access. If you require an accommodation or other assistance to apply for a job at GSK, please contact the appropriate Recruitment Staff by emailing us at . GSK may be required to capture and report expenses incurred on your behalf in the event you are afforded an interview for employment. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at
CBSbutler Holdings Limited trading as CBSbutler
Wokingham, Berkshire
Role: Principal Site Reliability Engineer (Platform / DevOps) Location: Wokingham (Reading) - Hybrid (60% remote / 40% onsite) Duration: 6 Months+ Rate: 500- 520 per day Clearance: Active SC Clearance required (mandatory) Overview We are seeking an experienced Principal SRE / Platform Engineer to lead platform-first initiatives focused on scalability, reliability, and performance across distributed systems. This role requires strong DevOps expertise and the ability to design and maintain resilient cloud-based infrastructure. Key Responsibilities Lead platform-first engineering initiatives to enhance scalability and reliability Design, build, and maintain resilient infrastructure for distributed systems Implement monitoring and alerting solutions to ensure high availability Collaborate with engineering teams to improve system reliability and mitigate risks Develop and maintain CI/CD pipelines to support efficient deployments Recommend ongoing improvements to platform architecture and processes Ensure compliance with security, governance, and regulatory standards Required Skills & Experience Strong background in software engineering for large-scale distributed systems Proficiency in Golang, Java, or Python Hands-on experience with AWS, Azure, or GCP Deep knowledge of Kubernetes and container orchestration Proven experience with CI/CD and infrastructure automation Excellent troubleshooting and communication skills
Apr 09, 2026
Contractor
Role: Principal Site Reliability Engineer (Platform / DevOps) Location: Wokingham (Reading) - Hybrid (60% remote / 40% onsite) Duration: 6 Months+ Rate: 500- 520 per day Clearance: Active SC Clearance required (mandatory) Overview We are seeking an experienced Principal SRE / Platform Engineer to lead platform-first initiatives focused on scalability, reliability, and performance across distributed systems. This role requires strong DevOps expertise and the ability to design and maintain resilient cloud-based infrastructure. Key Responsibilities Lead platform-first engineering initiatives to enhance scalability and reliability Design, build, and maintain resilient infrastructure for distributed systems Implement monitoring and alerting solutions to ensure high availability Collaborate with engineering teams to improve system reliability and mitigate risks Develop and maintain CI/CD pipelines to support efficient deployments Recommend ongoing improvements to platform architecture and processes Ensure compliance with security, governance, and regulatory standards Required Skills & Experience Strong background in software engineering for large-scale distributed systems Proficiency in Golang, Java, or Python Hands-on experience with AWS, Azure, or GCP Deep knowledge of Kubernetes and container orchestration Proven experience with CI/CD and infrastructure automation Excellent troubleshooting and communication skills
Managed Cloud Detection and Response Analyst Come join the company that is reinventing cloud security and empowering businesses to thrive in the cloud. As the fastest-growing startup ever, Wiz is on a mission to help organizations secure cloud environments that will accelerate their businesses. Trusted by security teams all over the world, we have a proventrack record of success and a culture that values world-class talent. Our Wizards from over 20 countries work together to protect the infrastructure of our hundreds of customers, including over 50% of the Fortune 100, who trust us to scan and secure over 230 billion files daily. We're the leading player in a massive and growing market, but it's still early enough for you to make a significant impact. At Wiz, you'll have the freedom to think creatively, dream big, and use your full range of skills to contribute to our record growth. Come join our team and help us create secure cloud environments that allow the best companies to move faster. Wiz is looking for a Managed Cloud Detection and Response Analyst to join our newly established team. The team monitors customers' cloud environments and workloads, triages security alerts, and mitigates cyber incidents. We are seeking an experienced detection and response analyst with a solid background in cloud security, who is committed to helping customers secure their cloud environments and proactively protect against emerging threats. Your contribution will be vital in preventing potential attacks and ensuring a swift response to security incidents! WHAT YOU'LL DO Continuously monitor customers' cloud environments and workloads for security alerts and analyze potential cyber threats to identify and prioritize cyber security incidents. Triage prioritized cyber incidents and coordinate appropriate response actions to mitigate risks effectively. Work closely with customer teams to guide and assist with investigation and remediation of incidents. Create and deliver incident reports that document findings and response actions taken for customers. Write and implement custom detection rules and fine-tune alerts to enhance threat detection capabilities for the customer's specific cloud environment. Develop and maintain cyber incident response playbooks to standardize procedures and enhance the internal methodology of the team. Stay up to date with the latest threats, vulnerabilities, and trends in cloud security to update response strategies and improve detection methods. WHAT YOU'LL BRING 3+ years of experience in a Security Operations Center or Managed Detection and Response, specifically involving cloud environments. Solid knowledge in Cloud Security, with familiarity in cloud services, Kubernetes, cloud architecture, and major providers (AWS, GCP, Azure). Strong analytical skills with a detail-oriented mindset, capable of assessing complex security incidents, separating false positives from true compromise, and providing actionable insights. Passion for continuous learning and improvement, staying up-to-date on the latest trends, threats, and best practices in cloud security. Willingness to work in shifts, including nights, weekends, and holidays to provide 24/7 coverage for customers. Excellent communication skills, both verbal and written. Applicants must have the legal right to work in the country where the position is based, without the need for visa sponsorship. This role does not offer visa sponsorship. Wiz is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. By submitting your application, you acknowledge that Wiz will process your personal data in accordance with Wiz's Privacy Policy.
Apr 09, 2026
Full time
Managed Cloud Detection and Response Analyst Come join the company that is reinventing cloud security and empowering businesses to thrive in the cloud. As the fastest-growing startup ever, Wiz is on a mission to help organizations secure cloud environments that will accelerate their businesses. Trusted by security teams all over the world, we have a proventrack record of success and a culture that values world-class talent. Our Wizards from over 20 countries work together to protect the infrastructure of our hundreds of customers, including over 50% of the Fortune 100, who trust us to scan and secure over 230 billion files daily. We're the leading player in a massive and growing market, but it's still early enough for you to make a significant impact. At Wiz, you'll have the freedom to think creatively, dream big, and use your full range of skills to contribute to our record growth. Come join our team and help us create secure cloud environments that allow the best companies to move faster. Wiz is looking for a Managed Cloud Detection and Response Analyst to join our newly established team. The team monitors customers' cloud environments and workloads, triages security alerts, and mitigates cyber incidents. We are seeking an experienced detection and response analyst with a solid background in cloud security, who is committed to helping customers secure their cloud environments and proactively protect against emerging threats. Your contribution will be vital in preventing potential attacks and ensuring a swift response to security incidents! WHAT YOU'LL DO Continuously monitor customers' cloud environments and workloads for security alerts and analyze potential cyber threats to identify and prioritize cyber security incidents. Triage prioritized cyber incidents and coordinate appropriate response actions to mitigate risks effectively. Work closely with customer teams to guide and assist with investigation and remediation of incidents. Create and deliver incident reports that document findings and response actions taken for customers. Write and implement custom detection rules and fine-tune alerts to enhance threat detection capabilities for the customer's specific cloud environment. Develop and maintain cyber incident response playbooks to standardize procedures and enhance the internal methodology of the team. Stay up to date with the latest threats, vulnerabilities, and trends in cloud security to update response strategies and improve detection methods. WHAT YOU'LL BRING 3+ years of experience in a Security Operations Center or Managed Detection and Response, specifically involving cloud environments. Solid knowledge in Cloud Security, with familiarity in cloud services, Kubernetes, cloud architecture, and major providers (AWS, GCP, Azure). Strong analytical skills with a detail-oriented mindset, capable of assessing complex security incidents, separating false positives from true compromise, and providing actionable insights. Passion for continuous learning and improvement, staying up-to-date on the latest trends, threats, and best practices in cloud security. Willingness to work in shifts, including nights, weekends, and holidays to provide 24/7 coverage for customers. Excellent communication skills, both verbal and written. Applicants must have the legal right to work in the country where the position is based, without the need for visa sponsorship. This role does not offer visa sponsorship. Wiz is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. By submitting your application, you acknowledge that Wiz will process your personal data in accordance with Wiz's Privacy Policy.
