Expedia Group brands power global travel for everyone, everywhere. We design cutting edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us. About the team: Expedia Group Advertising is redefining how travel brands connect with global audiences. Our Publishing Team owns the end to end delivery of display and travel ads across Expedia's white label and partner platforms. We're building the next generation of video ad infrastructure, AI powered tooling, and Rapid API integrations to deliver smarter, more engaging ad experiences. In this role, you will: Design, implement, and evolve high quality software services and components, including system design, low level design, API design, and data modeling to support scalable, reliable products. Lead end to end delivery of complex technical features across services or domains, including requirements clarification, solution design, development, testing, deployment, and ongoing operational support. Collaborate closely with product, architecture, and cross functional engineering teams to define technical direction, align on standards, and ensure solutions meet business and customer needs. Improve the reliability, performance, security, and observability of services through robust engineering practices, including code reviews, automated testing, CI/CD, and production monitoring. Mentor and support other engineers through technical guidance, design reviews, and knowledge sharing, helping to raise the overall technical bar across the team and adjacent teams. Safely integrate and operate AI/ML enabled solutions that improve outcomes, including familiarity with AI driven systems, tools, or workflows and applying AI/ML concepts to real world products in alignment with Expedia Group standards. Minimum Qualifications: Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. Professional software engineering experience that includes ownership of significant services or components within a multi service or domain environment. Proven proficiency in designing and building backend or full stack systems, including RESTful or similar APIs, data models, and integration patterns using industry standard languages, frameworks, and tooling. Experience applying sound software engineering practices such as object oriented or functional design, automated testing, code review, source control, and continuous integration/continuous delivery for production systems. Hands on experience supporting services in production, including monitoring, troubleshooting, and resolving issues to maintain availability and performance, with familiarity using or integrating AI driven tools in development or operations workflows. Preferred Qualifications: Experience designing and evolving distributed, high traffic or large scale systems, including making architectural tradeoffs related to performance, reliability, and cost within a service or domain. Demonstrated leadership in driving technical design for complex initiatives, such as defining APIs, data contracts, and low level designs that are extensible and maintainable across multiple services or teams. Strong focus on operational excellence, including building observability, resiliency patterns, and automation into services, and using data and metrics to guide technical decisions and continuous improvement. Familiarity with AI driven systems, tools, or workflows and applying AI/ML concepts to real world products, including safely integrating and operating AI/ML enabled solutions that improve customer or business outcomes. Experience serving as a technical mentor or lead for projects, enabling cross team collaboration, guiding implementation quality, and contributing to or influencing engineering standards and best practices. Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's family of brands includes: Brand Expedia Expedia Partner Solutions, Vrbo , trivago , Orbitz , Travelocity , Hotwire , Wotif , ebookers , CheapTickets , Expedia Group Media Solutions, Expedia Local Expert and Expedia Cruises . 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: -50 Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.
Mar 12, 2026
Full time
Expedia Group brands power global travel for everyone, everywhere. We design cutting edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us. About the team: Expedia Group Advertising is redefining how travel brands connect with global audiences. Our Publishing Team owns the end to end delivery of display and travel ads across Expedia's white label and partner platforms. We're building the next generation of video ad infrastructure, AI powered tooling, and Rapid API integrations to deliver smarter, more engaging ad experiences. In this role, you will: Design, implement, and evolve high quality software services and components, including system design, low level design, API design, and data modeling to support scalable, reliable products. Lead end to end delivery of complex technical features across services or domains, including requirements clarification, solution design, development, testing, deployment, and ongoing operational support. Collaborate closely with product, architecture, and cross functional engineering teams to define technical direction, align on standards, and ensure solutions meet business and customer needs. Improve the reliability, performance, security, and observability of services through robust engineering practices, including code reviews, automated testing, CI/CD, and production monitoring. Mentor and support other engineers through technical guidance, design reviews, and knowledge sharing, helping to raise the overall technical bar across the team and adjacent teams. Safely integrate and operate AI/ML enabled solutions that improve outcomes, including familiarity with AI driven systems, tools, or workflows and applying AI/ML concepts to real world products in alignment with Expedia Group standards. Minimum Qualifications: Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. Professional software engineering experience that includes ownership of significant services or components within a multi service or domain environment. Proven proficiency in designing and building backend or full stack systems, including RESTful or similar APIs, data models, and integration patterns using industry standard languages, frameworks, and tooling. Experience applying sound software engineering practices such as object oriented or functional design, automated testing, code review, source control, and continuous integration/continuous delivery for production systems. Hands on experience supporting services in production, including monitoring, troubleshooting, and resolving issues to maintain availability and performance, with familiarity using or integrating AI driven tools in development or operations workflows. Preferred Qualifications: Experience designing and evolving distributed, high traffic or large scale systems, including making architectural tradeoffs related to performance, reliability, and cost within a service or domain. Demonstrated leadership in driving technical design for complex initiatives, such as defining APIs, data contracts, and low level designs that are extensible and maintainable across multiple services or teams. Strong focus on operational excellence, including building observability, resiliency patterns, and automation into services, and using data and metrics to guide technical decisions and continuous improvement. Familiarity with AI driven systems, tools, or workflows and applying AI/ML concepts to real world products, including safely integrating and operating AI/ML enabled solutions that improve customer or business outcomes. Experience serving as a technical mentor or lead for projects, enabling cross team collaboration, guiding implementation quality, and contributing to or influencing engineering standards and best practices. Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's family of brands includes: Brand Expedia Expedia Partner Solutions, Vrbo , trivago , Orbitz , Travelocity , Hotwire , Wotif , ebookers , CheapTickets , Expedia Group Media Solutions, Expedia Local Expert and Expedia Cruises . 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: -50 Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.
Role Overview We are seeking an experienced Senior Cloud Engineer with deep expertise in cloud-native platforms, Kubernetes, and DevOps engineering . In this role, you will contribute to building and operating a strategic platform on Google Cloud Platform (GCP) that supports next-generation digital services aligned with the organization's long-term technology vision. The ideal candidate will have strong experience in GCP infrastructure, Kubernetes operations, service mesh technologies, CI/CD automation, and infrastructure as code , along with a strong Site Reliability Engineering (SRE) mindset focused on reliability, scalability, and security . Key Responsibilities Cloud Platform Engineering Architect, implement, and maintain highly resilient, scalable, and secure Kubernetes environments on GCP . Engineer and optimize Kubernetes infrastructure supporting multi-tenant workloads . Ensure strong resource isolation, operational scalability, and high availability across cloud environments. Kubernetes & Service Mesh Manage and operate production-grade Kubernetes clusters . Implement service mesh technologies such as Istio or Anthos for secure service-to-service communication. Configure Istio telemetry, sidecar injection, and mTLS enforcement . Security & Governance Implement strong security controls including: OPA Gatekeeper policies Fine-grained RBAC mTLS encryption Secure service mesh configurations Apply least-privilege access principles and cloud security best practices . CI/CD & Automation Build and maintain CI/CD pipelines enabling automated build, testing, and deployment. Implement Infrastructure as Code (IaC) using Terraform . Automate platform provisioning and configuration using modern DevOps practices. Observability & Performance Implement observability frameworks using tools such as: Prometheus Dynatrace OpenTelemetry Diagnose and resolve complex performance, networking, and automation issues . Optimize system performance and ensure platform reliability. Collaboration Work closely with engineering, architecture, and DevOps teams to deliver cloud-native solutions . Support the full lifecycle management of cloud-native services . Contribute to engineering best practices and continuous improvement initiatives .
Mar 11, 2026
Contractor
Role Overview We are seeking an experienced Senior Cloud Engineer with deep expertise in cloud-native platforms, Kubernetes, and DevOps engineering . In this role, you will contribute to building and operating a strategic platform on Google Cloud Platform (GCP) that supports next-generation digital services aligned with the organization's long-term technology vision. The ideal candidate will have strong experience in GCP infrastructure, Kubernetes operations, service mesh technologies, CI/CD automation, and infrastructure as code , along with a strong Site Reliability Engineering (SRE) mindset focused on reliability, scalability, and security . Key Responsibilities Cloud Platform Engineering Architect, implement, and maintain highly resilient, scalable, and secure Kubernetes environments on GCP . Engineer and optimize Kubernetes infrastructure supporting multi-tenant workloads . Ensure strong resource isolation, operational scalability, and high availability across cloud environments. Kubernetes & Service Mesh Manage and operate production-grade Kubernetes clusters . Implement service mesh technologies such as Istio or Anthos for secure service-to-service communication. Configure Istio telemetry, sidecar injection, and mTLS enforcement . Security & Governance Implement strong security controls including: OPA Gatekeeper policies Fine-grained RBAC mTLS encryption Secure service mesh configurations Apply least-privilege access principles and cloud security best practices . CI/CD & Automation Build and maintain CI/CD pipelines enabling automated build, testing, and deployment. Implement Infrastructure as Code (IaC) using Terraform . Automate platform provisioning and configuration using modern DevOps practices. Observability & Performance Implement observability frameworks using tools such as: Prometheus Dynatrace OpenTelemetry Diagnose and resolve complex performance, networking, and automation issues . Optimize system performance and ensure platform reliability. Collaboration Work closely with engineering, architecture, and DevOps teams to deliver cloud-native solutions . Support the full lifecycle management of cloud-native services . Contribute to engineering best practices and continuous improvement initiatives .
AI Architect (Generative & Agentic AI) Permanent Location: London (onsite twice a week) Salary: £80,000 - £95,000 Per Annum D.O.E Plus benefits & Bonus Shape the next generation of enterprise AI We're looking for a senior AI Architect to lead the design and delivery of cutting-edge Generative and Agentic AI solutions across complex enterprise environments. This is a client-facing, strategic role for someone who combines deep technical expertise with strong consulting instincts, someone who can move comfortably between vision, architecture, and real-world delivery. You'll work on high-value transformation initiatives, helping organisations turn AI from experimentation into measurable business impact. The Role: As an AI Architect, you'll operate at the intersection of strategy, solution design, and delivery. You will: Lead discovery and design of AI-led solutions aligned to business outcomes Architect and scale GenAI, RAG, and Agentic AI systems in production Advise senior stakeholders on AI strategy, feasibility, and roadmap Act as a technical authority during bids, proposals, and client workshops Guide engineering teams through complex implementations This role offers real ownership, from shaping ideas through to deploying production-grade AI platforms. Key Responsibilities: Client & Stakeholder Engagement Partner with commercial and delivery teams to qualify opportunities and shape compelling AI propositions Act as a trusted advisor in workshops, discovery sessions, and solution design discussions Support RFI/RFP responses and client presentations with clear, credible technical direction Solution Architecture & Delivery Design enterprise-ready Data & AI architectures using modern cloud platforms (AWS, Azure, GCP) Architect RAG-based GenAI solutions, chatbots, and autonomous/agentic workflows Select appropriate models, frameworks, orchestration tools, and evaluation approaches Ensure solutions are secure, scalable, observable, and production-ready Technical Leadership & Innovation Lead and mentor teams of AI and software engineers Drive best practices across MLOps / LLMOps, governance, and AI observability Contribute to reusable accelerators, reference architectures, and go-to-market offerings What We're Looking For: Essential Experience & Skills: Proven experience architecting solutions across Generative AI, Agentic AI, ML, and automation Strong understanding of: Prompt engineering RAG pipelines Model fine-tuning (supervised / unsupervised) MLOps / LLMOps and AI observability Hands-on experience building enterprise RAG solutions using LLMs (e.g. OpenAI, Llama, Mistral, Claude) and vector databases (Pinecone, Weaviate, FAISS, etc.) Practical experience with GenAI frameworks such as LangChain, LlamaIndex, and agentic frameworks like AutoGen, CrewAI, LangGraph Strong Python expertise with AI/ML frameworks (PyTorch, TensorFlow) and NLP libraries Experience deploying AI solutions on at least one major cloud platform (AWS, Azure, or GCP) Solid software engineering foundations for building scalable, maintainable systems Experience leading or guiding teams of AI / software engineers Consulting & Communication: Strong stakeholder management and communication skills Comfortable translating complex AI concepts into clear business value Experience supporting proposals, bids, and client presentations Why Apply? Work on meaningful, enterprise-scale AI transformation programmes Shape AI strategy and architecture, not just build proofs of concept High visibility, senior-level role with real influence Continuous exposure to modern AI tooling, frameworks, and delivery models Strong investment in learning, innovation, and professional development
Mar 11, 2026
Full time
AI Architect (Generative & Agentic AI) Permanent Location: London (onsite twice a week) Salary: £80,000 - £95,000 Per Annum D.O.E Plus benefits & Bonus Shape the next generation of enterprise AI We're looking for a senior AI Architect to lead the design and delivery of cutting-edge Generative and Agentic AI solutions across complex enterprise environments. This is a client-facing, strategic role for someone who combines deep technical expertise with strong consulting instincts, someone who can move comfortably between vision, architecture, and real-world delivery. You'll work on high-value transformation initiatives, helping organisations turn AI from experimentation into measurable business impact. The Role: As an AI Architect, you'll operate at the intersection of strategy, solution design, and delivery. You will: Lead discovery and design of AI-led solutions aligned to business outcomes Architect and scale GenAI, RAG, and Agentic AI systems in production Advise senior stakeholders on AI strategy, feasibility, and roadmap Act as a technical authority during bids, proposals, and client workshops Guide engineering teams through complex implementations This role offers real ownership, from shaping ideas through to deploying production-grade AI platforms. Key Responsibilities: Client & Stakeholder Engagement Partner with commercial and delivery teams to qualify opportunities and shape compelling AI propositions Act as a trusted advisor in workshops, discovery sessions, and solution design discussions Support RFI/RFP responses and client presentations with clear, credible technical direction Solution Architecture & Delivery Design enterprise-ready Data & AI architectures using modern cloud platforms (AWS, Azure, GCP) Architect RAG-based GenAI solutions, chatbots, and autonomous/agentic workflows Select appropriate models, frameworks, orchestration tools, and evaluation approaches Ensure solutions are secure, scalable, observable, and production-ready Technical Leadership & Innovation Lead and mentor teams of AI and software engineers Drive best practices across MLOps / LLMOps, governance, and AI observability Contribute to reusable accelerators, reference architectures, and go-to-market offerings What We're Looking For: Essential Experience & Skills: Proven experience architecting solutions across Generative AI, Agentic AI, ML, and automation Strong understanding of: Prompt engineering RAG pipelines Model fine-tuning (supervised / unsupervised) MLOps / LLMOps and AI observability Hands-on experience building enterprise RAG solutions using LLMs (e.g. OpenAI, Llama, Mistral, Claude) and vector databases (Pinecone, Weaviate, FAISS, etc.) Practical experience with GenAI frameworks such as LangChain, LlamaIndex, and agentic frameworks like AutoGen, CrewAI, LangGraph Strong Python expertise with AI/ML frameworks (PyTorch, TensorFlow) and NLP libraries Experience deploying AI solutions on at least one major cloud platform (AWS, Azure, or GCP) Solid software engineering foundations for building scalable, maintainable systems Experience leading or guiding teams of AI / software engineers Consulting & Communication: Strong stakeholder management and communication skills Comfortable translating complex AI concepts into clear business value Experience supporting proposals, bids, and client presentations Why Apply? Work on meaningful, enterprise-scale AI transformation programmes Shape AI strategy and architecture, not just build proofs of concept High visibility, senior-level role with real influence Continuous exposure to modern AI tooling, frameworks, and delivery models Strong investment in learning, innovation, and professional development
A leading software platform in London is seeking a Principal Site Reliability Engineer to focus on scaling and hardening their AWS- and Kubernetes-based infrastructure. The successful candidate will oversee SRE practices, guide automation efforts, and ensure operational excellence within the team. With benefits like hybrid working, private medical insurance, and a pension contribution, this role is ideal for those looking to advance their career while promoting a diverse workforce.
Mar 10, 2026
Full time
A leading software platform in London is seeking a Principal Site Reliability Engineer to focus on scaling and hardening their AWS- and Kubernetes-based infrastructure. The successful candidate will oversee SRE practices, guide automation efforts, and ensure operational excellence within the team. With benefits like hybrid working, private medical insurance, and a pension contribution, this role is ideal for those looking to advance their career while promoting a diverse workforce.
Role Overview We are seeking a skilled Cloud Platform Engineer / Site Reliability Engineer (SRE) with strong expertise in Google Cloud Platform (GCP) to design, build, and operate secure, scalable, and automated cloud platform capabilities. The ideal candidate will have strong experience in Infrastructure as Code, Kubernetes, API management, and cloud networking , along with a strong DevOps and SRE mindset focused on reliability, automation, and observability . Key Responsibilities Cloud Platform Engineering Design, build, and maintain secure and automated cloud platform capabilities on Google Cloud Platform (GCP) . Support API Management platforms and integration services across the organization. Develop and maintain cloud infrastructure architectures aligned with platform engineering best practices . Infrastructure as Code & Automation Develop and manage Terraform-based Infrastructure as Code (IaC) solutions. Implement automation for provisioning, configuration, and lifecycle management of cloud resources . Maintain and enhance CI/CD pipelines using tools such as Jenkins, GitHub Actions, or Harness . API Management & Integration Support and manage GCP API Management infrastructure (Apigee) . Implement API Gateway solutions and integration platform capabilities. Ensure secure API design using REST/OpenAPI standards, OAuth, mTLS, and certificate lifecycle management . Containers & Kubernetes Design and manage containerized workloads using Google Kubernetes Engine (GKE) . Implement container orchestration, scaling, and service mesh technologies such as Istio . Networking & Security Implement and manage GCP networking components , including: Load Balancers Cloud Armor Secure networking configurations Ensure security-by-design principles across the platform lifecycle. Observability & Reliability Implement SLO/SLI frameworks and observability solutions to ensure platform reliability. Configure monitoring tools such as Dynatrace or other observability platforms . Optimize system performance and reduce operational overhead through automation. Collaboration & Platform Enablement Work closely with architecture, DevOps, and development teams to evolve the cloud platform. Enable teams to deliver API-first services using reusable platform capabilities . Contribute to documentation, knowledge sharing, and platform best practices . Mentor team members and contribute to engineering standards and communities of practice .
Mar 10, 2026
Contractor
Role Overview We are seeking a skilled Cloud Platform Engineer / Site Reliability Engineer (SRE) with strong expertise in Google Cloud Platform (GCP) to design, build, and operate secure, scalable, and automated cloud platform capabilities. The ideal candidate will have strong experience in Infrastructure as Code, Kubernetes, API management, and cloud networking , along with a strong DevOps and SRE mindset focused on reliability, automation, and observability . Key Responsibilities Cloud Platform Engineering Design, build, and maintain secure and automated cloud platform capabilities on Google Cloud Platform (GCP) . Support API Management platforms and integration services across the organization. Develop and maintain cloud infrastructure architectures aligned with platform engineering best practices . Infrastructure as Code & Automation Develop and manage Terraform-based Infrastructure as Code (IaC) solutions. Implement automation for provisioning, configuration, and lifecycle management of cloud resources . Maintain and enhance CI/CD pipelines using tools such as Jenkins, GitHub Actions, or Harness . API Management & Integration Support and manage GCP API Management infrastructure (Apigee) . Implement API Gateway solutions and integration platform capabilities. Ensure secure API design using REST/OpenAPI standards, OAuth, mTLS, and certificate lifecycle management . Containers & Kubernetes Design and manage containerized workloads using Google Kubernetes Engine (GKE) . Implement container orchestration, scaling, and service mesh technologies such as Istio . Networking & Security Implement and manage GCP networking components , including: Load Balancers Cloud Armor Secure networking configurations Ensure security-by-design principles across the platform lifecycle. Observability & Reliability Implement SLO/SLI frameworks and observability solutions to ensure platform reliability. Configure monitoring tools such as Dynatrace or other observability platforms . Optimize system performance and reduce operational overhead through automation. Collaboration & Platform Enablement Work closely with architecture, DevOps, and development teams to evolve the cloud platform. Enable teams to deliver API-first services using reusable platform capabilities . Contribute to documentation, knowledge sharing, and platform best practices . Mentor team members and contribute to engineering standards and communities of practice .
Site Reliability Engineer / SRE / Systems Engineer A fantastic opportunity for a Site Reliability Engineer / Systems Engineer to support highly available, scalable production systems within a fast-growing technology environment, working across cloud platforms, DevOps, networking and operational resilience. If you've also worked in the following roles, we'd also like to hear from you: DevOps Engineer, Operations Engineer, Cloud Engineer, Platform Engineer, Systems Engineer, Infrastructure Engineer, Production Engineer SALARY: up to £70,000 per annum (depending on experience) + Benefits LOCATION: Remote and Hybrid Working Options Available. You can either work remotely of if you prefer Hybrid working from home and the office in Altrincham, Greater Manchester, North West England JOB TYPE: Full-Time, Permanent JOB OVERVIEW We have a fantastic new job opportunity for a Site Reliability Engineer / Systems Engineer to join a growing technology team focused on delivering reliable, scalable and resilient platforms and services. As a Site Reliability Engineer/ Systems Engineer you will act as the vital link between operations, end users and backend development teams, ensuring system availability, performance optimisation and effective incident management across live environments. This Site Reliability Engineer/ Systems Engineer role offers the chance to work with modern cloud technologies, containerisation, observability tools and automation practices, while influencing long-term reliability improvements across business-critical systems. APPLY TODAY Ready to make your next career move? Apply Now for our Recruitment Team to review. DUTIES Your duties as the Site Reliability Engineer / Systems Engineer include: Incident Triage and Ownership: Acting as first-line technical escalation for live production issues through to resolution or handover System Monitoring and Availability: Maintaining high availability, performance and scalability of production platforms and services Observability Implementation: Managing logging, monitoring, alerting and metrics to proactively identify and resolve issues Reliability Improvements: Collaborating with development teams to translate operational insights into long-term platform resilience Automation and Resilience: Supporting automation, incident response and continuous improvement practices New Service Support: Ensuring new products and features are operable, reliable and scalable from day one Cross-Team Collaboration: Working with network engineering, operations and support teams to diagnose service issues Documentation and Reporting: Creating and maintaining runbooks, escalation guides and incident reports Incident Prioritisation: Balancing customer impact with long-term system health and stability Security and Compliance: Supporting compliance with security, availability and regulatory frameworks CANDIDATE REQUIREMENTS ESSENTIAL Previous experience in a Site Reliability Engineer, DevOps Engineer, Systems Engineer or Operations Engineer role Experience supporting production services at scale within a DevOps or SRE environment Strong working knowledge of ISP-related networking concepts including DNS, DHCP, PPPoE, RADIUS and IPv4/IPv6 Experience with observability tools such as Prometheus, Grafana, ELK or Splunk Hands-on experience with containerisation and orchestration using Docker and Kubernetes Cloud platform experience, ideally Google Cloud Platform, including automation and scaling practices Strong Linux administration skills with scripting capability in Bash, Python or similar Familiarity with CI/CD pipelines and source control tools such as GitHub Actions Understanding of security frameworks and operational resilience best practices DESIRABLE Experience within ISP, MSP or telecommunications environments Familiarity with enterprise IT architectures including OSS and BSS systems Knowledge of information security frameworks such as ISO27001, NIST or GDPR Experience with infrastructure automation tools such as Terraform or Ansible BENEFITS Smart casual dress code Free access to gym facilities Access to a financial wellbeing platform (on successful completion of probationary period) Access to an employee assistance programme, Virtual GP and Elderly Care support (on successful completion of probationary period) Access to cycle to work, childcare, and electric vehicle schemes after six months Brand new office with excellent transport links Supportive team culture, growth and career progression HOW TO APPLY To be considered for this job vacancy, please submit your CV to our Recruitment Team who will review your details. CV's of Job Applicants meeting this requirement will be submitted to our Client for consideration. By submitting your job application to us you are hereby giving us your express consent to submit your details to our Client for this purpose. JOB REF: AWDO-P14376 Full-Time, Permanent Jobs, Careers and Vacancies. Find a new job and work in Altrincham, Greater Manchester, North West England. Multi-Job Board Advertising and CV Sourcing Recruitment Services provided by AWD online. AWD online specialise in sourcing candidates and advertising vacancies on multiple job boards for companies on a non-commission basis. AWD online operates as an employment agency. awd online
Mar 10, 2026
Full time
Site Reliability Engineer / SRE / Systems Engineer A fantastic opportunity for a Site Reliability Engineer / Systems Engineer to support highly available, scalable production systems within a fast-growing technology environment, working across cloud platforms, DevOps, networking and operational resilience. If you've also worked in the following roles, we'd also like to hear from you: DevOps Engineer, Operations Engineer, Cloud Engineer, Platform Engineer, Systems Engineer, Infrastructure Engineer, Production Engineer SALARY: up to £70,000 per annum (depending on experience) + Benefits LOCATION: Remote and Hybrid Working Options Available. You can either work remotely of if you prefer Hybrid working from home and the office in Altrincham, Greater Manchester, North West England JOB TYPE: Full-Time, Permanent JOB OVERVIEW We have a fantastic new job opportunity for a Site Reliability Engineer / Systems Engineer to join a growing technology team focused on delivering reliable, scalable and resilient platforms and services. As a Site Reliability Engineer/ Systems Engineer you will act as the vital link between operations, end users and backend development teams, ensuring system availability, performance optimisation and effective incident management across live environments. This Site Reliability Engineer/ Systems Engineer role offers the chance to work with modern cloud technologies, containerisation, observability tools and automation practices, while influencing long-term reliability improvements across business-critical systems. APPLY TODAY Ready to make your next career move? Apply Now for our Recruitment Team to review. DUTIES Your duties as the Site Reliability Engineer / Systems Engineer include: Incident Triage and Ownership: Acting as first-line technical escalation for live production issues through to resolution or handover System Monitoring and Availability: Maintaining high availability, performance and scalability of production platforms and services Observability Implementation: Managing logging, monitoring, alerting and metrics to proactively identify and resolve issues Reliability Improvements: Collaborating with development teams to translate operational insights into long-term platform resilience Automation and Resilience: Supporting automation, incident response and continuous improvement practices New Service Support: Ensuring new products and features are operable, reliable and scalable from day one Cross-Team Collaboration: Working with network engineering, operations and support teams to diagnose service issues Documentation and Reporting: Creating and maintaining runbooks, escalation guides and incident reports Incident Prioritisation: Balancing customer impact with long-term system health and stability Security and Compliance: Supporting compliance with security, availability and regulatory frameworks CANDIDATE REQUIREMENTS ESSENTIAL Previous experience in a Site Reliability Engineer, DevOps Engineer, Systems Engineer or Operations Engineer role Experience supporting production services at scale within a DevOps or SRE environment Strong working knowledge of ISP-related networking concepts including DNS, DHCP, PPPoE, RADIUS and IPv4/IPv6 Experience with observability tools such as Prometheus, Grafana, ELK or Splunk Hands-on experience with containerisation and orchestration using Docker and Kubernetes Cloud platform experience, ideally Google Cloud Platform, including automation and scaling practices Strong Linux administration skills with scripting capability in Bash, Python or similar Familiarity with CI/CD pipelines and source control tools such as GitHub Actions Understanding of security frameworks and operational resilience best practices DESIRABLE Experience within ISP, MSP or telecommunications environments Familiarity with enterprise IT architectures including OSS and BSS systems Knowledge of information security frameworks such as ISO27001, NIST or GDPR Experience with infrastructure automation tools such as Terraform or Ansible BENEFITS Smart casual dress code Free access to gym facilities Access to a financial wellbeing platform (on successful completion of probationary period) Access to an employee assistance programme, Virtual GP and Elderly Care support (on successful completion of probationary period) Access to cycle to work, childcare, and electric vehicle schemes after six months Brand new office with excellent transport links Supportive team culture, growth and career progression HOW TO APPLY To be considered for this job vacancy, please submit your CV to our Recruitment Team who will review your details. CV's of Job Applicants meeting this requirement will be submitted to our Client for consideration. By submitting your job application to us you are hereby giving us your express consent to submit your details to our Client for this purpose. JOB REF: AWDO-P14376 Full-Time, Permanent Jobs, Careers and Vacancies. Find a new job and work in Altrincham, Greater Manchester, North West England. Multi-Job Board Advertising and CV Sourcing Recruitment Services provided by AWD online. AWD online specialise in sourcing candidates and advertising vacancies on multiple job boards for companies on a non-commission basis. AWD online operates as an employment agency. awd online
Engineering - Project Management - Vice President - London Job Description ABOUT CORE ENGINEERING & SRE Site Reliability Engineering (SRE) at Goldman Sachs combines software and systems engineering to build, improve, and operate the firm's most critical, large scale, fault tolerant platforms. SRE is responsible for the availability, reliability, and resilience of foundational services used across thousands of internal engineers daily, spanning on prem data centres and multiple public cloud environments. SRE defines and implements firm wide standards for digital resilience, observability, incident response, SLIs/SLOs, production readiness, and operational excellence. The team provides platforms such as central logging, monitoring, alerting, orchestration, deployment automation, and tools for capacity planning, operational readiness, incident postmortems, and reliability insights. These capabilities underpin the reliability of every product shipped across Engineering. ROLE OVERVIEW We are seeking a Vice President Programme & Change Manager to lead a major cross Engineering transformation initiative within SRE. This role drives strategic change that enhances the firm's reliability posture, operational resilience, and engineering efficiency. You will operate at the intersection of programme leadership, engineering transformation, and organisational change, partnering with senior stakeholders across Engineering, SRE Product Owners, Cloud Enablement Engineering, Cloud, Security, Architecture, and our revenue aligned engineering teams. This leader will run a complex, multi year, firm wide flagship programme, ensuring SRE's strategic agenda is delivered consistently, transparently, and with strong execution discipline. HOW YOU WILL FULFILL YOUR POTENTIAL Lead SRE wide and Core Engineering strategic programmes Drive large, cross divisional change initiative that evolves the firm's reliability posture, observability strategy, cloud adoption readiness, incident management maturity, capacity planning, and production tooling ecosystem. Partner with SRE technical leaders to translate strategy into programme scope, milestones, outcomes, and measurement frameworks. Provide transparent reporting, executive updates, risk escalation, and budget tracking for senior Engineering leadership. Run forums and ensure alignment with firm wide engineering standards and regulatory expectations. Risk & issue management Identify programme level risks and impediments, drive mitigation plans, and escalation appropriately to ensure programme health. Cross functional coordination & delivery execution Work with Product, Design, Engineering, Site Reliability Engineering, Cloud teams, Security, and revenue aligned engineering to execute front to back change initiatives. Operational excellence & transformation tooling Promote SRE best practices and modern programme tooling for transparency and roadmap management. Support test strategy development, production readiness checks, and post implementation reviews. Champion SRE's mission Embed SRE principles-reliability, observability, incident learning, automation, and continuous improvement-into all programme plans and change frameworks. Ensure technology, process, and organisational changes align with SRE's core mission of delivering resilient, scalable, and sustainable production systems. SKILLS & EXPERIENCE WE'RE LOOKING FOR Basic Qualifications 7-10+ years of programme management, transformation leadership, or large scale engineering change experience. Proven track record delivering cross functional programmes involving teams from many disciplines. Strong communication skills with ability to influence senior technical and non technical stakeholders. Experience managing risk, budgets, multi team dependencies, and programme governance. Preferred Qualifications Strong growth mindset and drive to make a difference. Understanding of SRE principles, production operations, digital resilience, observability tooling, incident management, and cloud native platforms. Experience in large engineering organisations or technology led transformation. Familiarity with Agile delivery, OKRs, JIRA/Confluence, testing frameworks, and enterprise planning tooling. Ability to work in fast paced engineering environments with multiple competing priorities. ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law. Job Info Job Identification 161060 Job Category Vice President Posting Date 03/03/2026, 02:09 PM Locations London, Greater London, England, United Kingdom Healthcare & Medical Services We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally We offer competitive vacation policies based on employee level and office location. We promote time off from work to recharge by providing generous vacation entitlements and a minimum of three weeks expected vacation usage each year. Financial Wellness & Retirement We assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of benefits to help employees prepare for the unexpected. We offer live financial education and content on a variety of topics to address the spectrum of employees' priorities. Health We offer a medical advocacy service for employees and family members facing critical health situations, and counseling and referral services through the Employee Assistance Program (EAP). We provide Global Medical, Security and Travel Assistance and a Workplace Ergonomics Program. We also offer state of the art on site health centers in certain offices. Fitness To encourage employees to live a healthy and active lifestyle, some of our offices feature on site fitness centers. For eligible employees we typically reimburse fees paid for a fitness club membership or activity (up to a pre approved amount). We offer on site child care centers that provide full time and emergency back up care, as well as mother and baby rooms and homework rooms. In every office, we provide advice and counseling services, expectant parent resources and transitional programs for parents returning from parental leave. Adoption, surrogacy, egg donation and egg retrieval stipends are also available. Benefits at Goldman Sachs Read more about the full suite of class leading benefits our firm has to offer. Learn More
Mar 05, 2026
Full time
Engineering - Project Management - Vice President - London Job Description ABOUT CORE ENGINEERING & SRE Site Reliability Engineering (SRE) at Goldman Sachs combines software and systems engineering to build, improve, and operate the firm's most critical, large scale, fault tolerant platforms. SRE is responsible for the availability, reliability, and resilience of foundational services used across thousands of internal engineers daily, spanning on prem data centres and multiple public cloud environments. SRE defines and implements firm wide standards for digital resilience, observability, incident response, SLIs/SLOs, production readiness, and operational excellence. The team provides platforms such as central logging, monitoring, alerting, orchestration, deployment automation, and tools for capacity planning, operational readiness, incident postmortems, and reliability insights. These capabilities underpin the reliability of every product shipped across Engineering. ROLE OVERVIEW We are seeking a Vice President Programme & Change Manager to lead a major cross Engineering transformation initiative within SRE. This role drives strategic change that enhances the firm's reliability posture, operational resilience, and engineering efficiency. You will operate at the intersection of programme leadership, engineering transformation, and organisational change, partnering with senior stakeholders across Engineering, SRE Product Owners, Cloud Enablement Engineering, Cloud, Security, Architecture, and our revenue aligned engineering teams. This leader will run a complex, multi year, firm wide flagship programme, ensuring SRE's strategic agenda is delivered consistently, transparently, and with strong execution discipline. HOW YOU WILL FULFILL YOUR POTENTIAL Lead SRE wide and Core Engineering strategic programmes Drive large, cross divisional change initiative that evolves the firm's reliability posture, observability strategy, cloud adoption readiness, incident management maturity, capacity planning, and production tooling ecosystem. Partner with SRE technical leaders to translate strategy into programme scope, milestones, outcomes, and measurement frameworks. Provide transparent reporting, executive updates, risk escalation, and budget tracking for senior Engineering leadership. Run forums and ensure alignment with firm wide engineering standards and regulatory expectations. Risk & issue management Identify programme level risks and impediments, drive mitigation plans, and escalation appropriately to ensure programme health. Cross functional coordination & delivery execution Work with Product, Design, Engineering, Site Reliability Engineering, Cloud teams, Security, and revenue aligned engineering to execute front to back change initiatives. Operational excellence & transformation tooling Promote SRE best practices and modern programme tooling for transparency and roadmap management. Support test strategy development, production readiness checks, and post implementation reviews. Champion SRE's mission Embed SRE principles-reliability, observability, incident learning, automation, and continuous improvement-into all programme plans and change frameworks. Ensure technology, process, and organisational changes align with SRE's core mission of delivering resilient, scalable, and sustainable production systems. SKILLS & EXPERIENCE WE'RE LOOKING FOR Basic Qualifications 7-10+ years of programme management, transformation leadership, or large scale engineering change experience. Proven track record delivering cross functional programmes involving teams from many disciplines. Strong communication skills with ability to influence senior technical and non technical stakeholders. Experience managing risk, budgets, multi team dependencies, and programme governance. Preferred Qualifications Strong growth mindset and drive to make a difference. Understanding of SRE principles, production operations, digital resilience, observability tooling, incident management, and cloud native platforms. Experience in large engineering organisations or technology led transformation. Familiarity with Agile delivery, OKRs, JIRA/Confluence, testing frameworks, and enterprise planning tooling. Ability to work in fast paced engineering environments with multiple competing priorities. ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law. Job Info Job Identification 161060 Job Category Vice President Posting Date 03/03/2026, 02:09 PM Locations London, Greater London, England, United Kingdom Healthcare & Medical Services We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally We offer competitive vacation policies based on employee level and office location. We promote time off from work to recharge by providing generous vacation entitlements and a minimum of three weeks expected vacation usage each year. Financial Wellness & Retirement We assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of benefits to help employees prepare for the unexpected. We offer live financial education and content on a variety of topics to address the spectrum of employees' priorities. Health We offer a medical advocacy service for employees and family members facing critical health situations, and counseling and referral services through the Employee Assistance Program (EAP). We provide Global Medical, Security and Travel Assistance and a Workplace Ergonomics Program. We also offer state of the art on site health centers in certain offices. Fitness To encourage employees to live a healthy and active lifestyle, some of our offices feature on site fitness centers. For eligible employees we typically reimburse fees paid for a fitness club membership or activity (up to a pre approved amount). We offer on site child care centers that provide full time and emergency back up care, as well as mother and baby rooms and homework rooms. In every office, we provide advice and counseling services, expectant parent resources and transitional programs for parents returning from parental leave. Adoption, surrogacy, egg donation and egg retrieval stipends are also available. Benefits at Goldman Sachs Read more about the full suite of class leading benefits our firm has to offer. Learn More
Harnham - Data & Analytics Recruitment
Sheffield, Yorkshire
PRINCIPAL AI PLATFORM ENGINEER Up to £90,000 + BENEFITS SHEFFIELD (Hybrid) This is a standout opportunity to shape and scale an AI function from the ground up. You will drive the build of production-grade AI platforms, develop agentic automation for complex workflows, and deliver real business impact in an environment where engineering decisions directly influence performance and efficiency. THE COMPANY: They are a technology-led insurance organisation. Their products are powered by a combination of smart technology and human expertise, enabling them to offer fast, tailored cover to customers with diverse needs. With strong investment behind AI, they are entering a new phase of growth and building their first dedicated AI engineering team. Joining at this stage gives you the chance to influence technical strategy, architecture, and best-practice from day one. THE ROLE: Build and operate production-ready AI agents on GCP Design robust RAG pipelines covering ingestion, text processing, vector search and secure data handling. Implement evaluation frameworks, monitoring, A/B testing and performance dashboards for latency, cost and accuracy. Partner with product and operations teams to deploy AI capabilities into live environments and continually optimise performance. Shape engineering standards, patterns and tooling as part of a new AI function. YOUR SKILLS AND EXPERIENCE: Strong commercial experience in Data Engineering, ML Engineering or Software Engineering with applied AI delivery. Deep hands-on expertise with GCP services Strong Python skills Practical experience with LLMs, embeddings, RAG architectures and vector databases. A track record of building production-grade AI systems, including observability, evaluation and automated testing. DevOps capability across CI/CD, Docker and Kubernetes or equivalent tooling. THE BENEFITS: You will receive a salary, dependent on experience. Salary is up to £90,000 On top of the salary there are some fantastic extra benefits. HOW TO APPLY Please register your interest by sending your CV to Molly Bird via the apply link on this page.
Mar 04, 2026
Full time
PRINCIPAL AI PLATFORM ENGINEER Up to £90,000 + BENEFITS SHEFFIELD (Hybrid) This is a standout opportunity to shape and scale an AI function from the ground up. You will drive the build of production-grade AI platforms, develop agentic automation for complex workflows, and deliver real business impact in an environment where engineering decisions directly influence performance and efficiency. THE COMPANY: They are a technology-led insurance organisation. Their products are powered by a combination of smart technology and human expertise, enabling them to offer fast, tailored cover to customers with diverse needs. With strong investment behind AI, they are entering a new phase of growth and building their first dedicated AI engineering team. Joining at this stage gives you the chance to influence technical strategy, architecture, and best-practice from day one. THE ROLE: Build and operate production-ready AI agents on GCP Design robust RAG pipelines covering ingestion, text processing, vector search and secure data handling. Implement evaluation frameworks, monitoring, A/B testing and performance dashboards for latency, cost and accuracy. Partner with product and operations teams to deploy AI capabilities into live environments and continually optimise performance. Shape engineering standards, patterns and tooling as part of a new AI function. YOUR SKILLS AND EXPERIENCE: Strong commercial experience in Data Engineering, ML Engineering or Software Engineering with applied AI delivery. Deep hands-on expertise with GCP services Strong Python skills Practical experience with LLMs, embeddings, RAG architectures and vector databases. A track record of building production-grade AI systems, including observability, evaluation and automated testing. DevOps capability across CI/CD, Docker and Kubernetes or equivalent tooling. THE BENEFITS: You will receive a salary, dependent on experience. Salary is up to £90,000 On top of the salary there are some fantastic extra benefits. HOW TO APPLY Please register your interest by sending your CV to Molly Bird via the apply link on this page.
Job Description: Cloud Application Developer At DXC Technology, we deliver mission-critical services that help our clients transform, modernise, and thrive in secure, complex environments. We are committed to innovation, inclusion, and a people first culture that enables our teams to succeed and grow. Location: On site 5 days per week (1 hour drive from site) from Manchester, Central London or Gloucester. We are now seeking a Cloud Application Developer to join one of our Platinum accounts. In this role, you will provide both technical expertise and leadership, overseeing the design, development, and delivery of secure, automated, and scalable cloud solutions across Azure, AWS, and private cloud. You will also guide and mentor developers while working closely with stakeholders to ensure our solutions align with strategic business outcomes. Key Responsibilities Lead and manage a multidisciplinary team of cloud developers and engineers. Oversee the design, build, and deployment of high-availability, scalable, and secure cloud solutions. Act as a trusted advisor, guiding clients on emerging cloud technologies, automation, and best practices. Ensure solutions meet strict security, compliance, and performance requirements. Drive innovation, automation, and process improvement across cloud delivery. Collaborate with senior stakeholders to align cloud solutions with business objectives. What You'll Bring Proven experience in cloud platform development and team leadership. Strong communication and collaboration skills, with the ability to influence at multiple levels. Hands on expertise with AWS and/or Azure (Azure Virtual Desktop a plus). Knowledge of automation/configuration management tools (e.g., Ansible, Puppet, Chef). Experience with containerisation and orchestration (Docker, Kubernetes, OpenShift). Familiarity with scripting/coding languages such as Python, React, or Go. Strong understanding of CI/CD pipelines and Infrastructure as Code (Terraform, Jenkins, Concourse, etc.). Awareness of cloud security, IAM, and authentication frameworks (OIDC, OAuth2, Keycloak, etc.). Desirable Experience Monitoring and observability tools (Splunk, ELK, DataDog, New Relic, Nagios). Web/application servers (NGINX, Apache, JBoss). Database schemas and query languages. Atlassian toolset (Jira, Confluence, Bitbucket). What We Offer Competitive salary and compensation package. Pension scheme and private healthcare. DXC Select benefits - discounts on technology, travel, groceries, and more. Perks at Work and recognition programmes. Ongoing career development and leadership training. A collaborative culture that values inclusion, innovation, and balance. At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We're committed to fostering an inclusive environment where everyone can thrive. Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here.
Mar 03, 2026
Full time
Job Description: Cloud Application Developer At DXC Technology, we deliver mission-critical services that help our clients transform, modernise, and thrive in secure, complex environments. We are committed to innovation, inclusion, and a people first culture that enables our teams to succeed and grow. Location: On site 5 days per week (1 hour drive from site) from Manchester, Central London or Gloucester. We are now seeking a Cloud Application Developer to join one of our Platinum accounts. In this role, you will provide both technical expertise and leadership, overseeing the design, development, and delivery of secure, automated, and scalable cloud solutions across Azure, AWS, and private cloud. You will also guide and mentor developers while working closely with stakeholders to ensure our solutions align with strategic business outcomes. Key Responsibilities Lead and manage a multidisciplinary team of cloud developers and engineers. Oversee the design, build, and deployment of high-availability, scalable, and secure cloud solutions. Act as a trusted advisor, guiding clients on emerging cloud technologies, automation, and best practices. Ensure solutions meet strict security, compliance, and performance requirements. Drive innovation, automation, and process improvement across cloud delivery. Collaborate with senior stakeholders to align cloud solutions with business objectives. What You'll Bring Proven experience in cloud platform development and team leadership. Strong communication and collaboration skills, with the ability to influence at multiple levels. Hands on expertise with AWS and/or Azure (Azure Virtual Desktop a plus). Knowledge of automation/configuration management tools (e.g., Ansible, Puppet, Chef). Experience with containerisation and orchestration (Docker, Kubernetes, OpenShift). Familiarity with scripting/coding languages such as Python, React, or Go. Strong understanding of CI/CD pipelines and Infrastructure as Code (Terraform, Jenkins, Concourse, etc.). Awareness of cloud security, IAM, and authentication frameworks (OIDC, OAuth2, Keycloak, etc.). Desirable Experience Monitoring and observability tools (Splunk, ELK, DataDog, New Relic, Nagios). Web/application servers (NGINX, Apache, JBoss). Database schemas and query languages. Atlassian toolset (Jira, Confluence, Bitbucket). What We Offer Competitive salary and compensation package. Pension scheme and private healthcare. DXC Select benefits - discounts on technology, travel, groceries, and more. Perks at Work and recognition programmes. Ongoing career development and leadership training. A collaborative culture that values inclusion, innovation, and balance. At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We're committed to fostering an inclusive environment where everyone can thrive. Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here.
About GBG Enabling safe and rewarding digital lives for genuine people, everywhere We make it our mission to ensure more genuine people have digital access to opportunities, and businesses have access to more genuine people. Our technology draws on diverse and reliable data to create a single point of truth for identity and address verification. With over 30 years of experience behind us our team and technology are focused on enabling safe and rewarding digital lives for everyone. Regardless of age, location or background, genuine people everywhere should be able to digitally prove who they are and where they live. About the team and role CVML Teams At the heart of GBG's Documents and Biometrics portfolio, our team focuses on creating unique and powerful artificial intelligence models. These models are designed to revolutionize KYC verification for our customers. We drive the development of these cutting edge technologies, aiming to provide unparalleled solutions for document verification and digital trust. Collaboration is our cornerstone as we bring together diverse expertise to achieve collective success. Guided by Agile methodology, our daily operations focus on efficiency through automation. Director - Machine Learning The Director of Machine Learning provides strategic, technical, and people leadership for machine learning initiatives across the Documents & Biometrics organization. This role is accountable for defining the long term AI/ML vision and roadmap, translating business and product strategy into impactful ML capabilities, and ensuring the reliable, ethical, and scalable delivery of ML models into production. The Director operates as both a senior technical authority and an organizational leader, driving innovation, mentoring teams, influencing stakeholders, and ensuring that machine learning efforts deliver measurable customer and business value. This role requires deep expertise in machine learning and computer vision, strong leadership capability, and the ability to operate effectively across product, engineering, operations, compliance, and executive leadership functions. What you will do Strategic Leadership & Vision Define, own, and execute the long term AI and Machine Learning strategy for the Documents & Biometrics domain, aligned with company objectives and product roadmaps. Identify opportunities where machine learning can materially improve classification, extraction, fraud detection, image processing, and overall product performance. Serve as a thought leader for AI/ML within the organization, advocating for modern approaches, emerging technologies, and best practices. Technical & Delivery Leadership Provide hands on technical leadership across the full ML lifecycle, including research, model design, experimentation, validation, deployment, and continuous improvement. Raise the bar for technical excellence while fostering an inclusive, high engagement team culture. Oversee the development and productization of ML models addressing real world document and biometric challenges at scale. Establish and evolve robust MLOps practices to ensure reproducibility, reliability, observability, cost effectiveness, and consistent high quality model delivery. Ensure the availability, quality, and scalability of labeled data pipelines necessary to support ongoing model development and accuracy improvement. People & Team Leadership Lead, mentor, and develop a team of senior machine learning engineers and technical leaders, fostering a culture of trust, accountability, collaboration, and continuous learning. Build high performing teams that balance innovation with operational excellence. Set clear expectations, provide regular feedback, and support the professional growth and progression of team members. Builds trust through transparency, technical credibility, and consistent delivery. Cross Functional Collaboration Partner closely with Product Management to define AI/ML roadmaps, prioritize initiatives, and ensure timely and high impact delivery. Collaborate effectively with Engineering, Architecture, Data, Platform, Security, Legal, and Compliance teams to ensure ML systems are scalable, secure, and compliant. Represent Documents & Biometrics in cross company forums related to AI strategy, governance, and innovation. Governance, Ethics & Compliance Ensure that machine learning systems are developed and operated in accordance with applicable AI governance frameworks, regulatory requirements, and ethical best practices. Contribute to company wide AI governance efforts, including AI risk assessment, documentation, explainability, and stakeholder readiness. Promote appropriate AI literacy within the team and ensure responsible design and use of ML technologies. Operational Excellence Manage multiple complex initiatives simultaneously, balancing innovation, delivery commitments, and operational stability. Ensure adherence to industry best practices, architectural standards, and engineering quality bars. Maintain high levels of team morale, engagement, and delivery velocity. Skills we're looking for PhD in AI, Machine Learning, Computer Science, or a related field, or equivalent depth of industry experience. Deep technical expertise in machine learning, computer vision, and deep learning applied to real world, production systems. 10+ years of hands on experience in machine learning and computer vision, with a substantial portion in leadership roles. Significant experience leading and scaling machine learning teams in a product focused environment. Proven track record of delivering ML solutions end to end, from concept through production and ongoing optimization. Strong experience building and operating MLOps pipelines, data workflows, and production ML systems. Demonstrated ability to influence across organizational boundaries and communicate effectively with both technical and non technical stakeholders. Experience operating in highly dynamic, fast moving environments with competing priorities. Experience with regulated environments, AI governance frameworks, or compliance driven ML development would be beneficial Experience delivering ML solutions with measurable customer or business impact at scale To find out more As an equal opportunity employer, we are dedicated to creating a diverse and inclusive workplace where everyone feels valued and empowered. Please inform your GBG Talent Attraction Partner if you require any reasonable adjustments to the interview process. To chat to the Talent Attraction team and find out more about our benefits and why we're a great place to work, drop an email to we'll be in touch. You can also find out more about careers at Unleash your potential and be part of our mission to power safe and rewarding digital lives.
Feb 28, 2026
Full time
About GBG Enabling safe and rewarding digital lives for genuine people, everywhere We make it our mission to ensure more genuine people have digital access to opportunities, and businesses have access to more genuine people. Our technology draws on diverse and reliable data to create a single point of truth for identity and address verification. With over 30 years of experience behind us our team and technology are focused on enabling safe and rewarding digital lives for everyone. Regardless of age, location or background, genuine people everywhere should be able to digitally prove who they are and where they live. About the team and role CVML Teams At the heart of GBG's Documents and Biometrics portfolio, our team focuses on creating unique and powerful artificial intelligence models. These models are designed to revolutionize KYC verification for our customers. We drive the development of these cutting edge technologies, aiming to provide unparalleled solutions for document verification and digital trust. Collaboration is our cornerstone as we bring together diverse expertise to achieve collective success. Guided by Agile methodology, our daily operations focus on efficiency through automation. Director - Machine Learning The Director of Machine Learning provides strategic, technical, and people leadership for machine learning initiatives across the Documents & Biometrics organization. This role is accountable for defining the long term AI/ML vision and roadmap, translating business and product strategy into impactful ML capabilities, and ensuring the reliable, ethical, and scalable delivery of ML models into production. The Director operates as both a senior technical authority and an organizational leader, driving innovation, mentoring teams, influencing stakeholders, and ensuring that machine learning efforts deliver measurable customer and business value. This role requires deep expertise in machine learning and computer vision, strong leadership capability, and the ability to operate effectively across product, engineering, operations, compliance, and executive leadership functions. What you will do Strategic Leadership & Vision Define, own, and execute the long term AI and Machine Learning strategy for the Documents & Biometrics domain, aligned with company objectives and product roadmaps. Identify opportunities where machine learning can materially improve classification, extraction, fraud detection, image processing, and overall product performance. Serve as a thought leader for AI/ML within the organization, advocating for modern approaches, emerging technologies, and best practices. Technical & Delivery Leadership Provide hands on technical leadership across the full ML lifecycle, including research, model design, experimentation, validation, deployment, and continuous improvement. Raise the bar for technical excellence while fostering an inclusive, high engagement team culture. Oversee the development and productization of ML models addressing real world document and biometric challenges at scale. Establish and evolve robust MLOps practices to ensure reproducibility, reliability, observability, cost effectiveness, and consistent high quality model delivery. Ensure the availability, quality, and scalability of labeled data pipelines necessary to support ongoing model development and accuracy improvement. People & Team Leadership Lead, mentor, and develop a team of senior machine learning engineers and technical leaders, fostering a culture of trust, accountability, collaboration, and continuous learning. Build high performing teams that balance innovation with operational excellence. Set clear expectations, provide regular feedback, and support the professional growth and progression of team members. Builds trust through transparency, technical credibility, and consistent delivery. Cross Functional Collaboration Partner closely with Product Management to define AI/ML roadmaps, prioritize initiatives, and ensure timely and high impact delivery. Collaborate effectively with Engineering, Architecture, Data, Platform, Security, Legal, and Compliance teams to ensure ML systems are scalable, secure, and compliant. Represent Documents & Biometrics in cross company forums related to AI strategy, governance, and innovation. Governance, Ethics & Compliance Ensure that machine learning systems are developed and operated in accordance with applicable AI governance frameworks, regulatory requirements, and ethical best practices. Contribute to company wide AI governance efforts, including AI risk assessment, documentation, explainability, and stakeholder readiness. Promote appropriate AI literacy within the team and ensure responsible design and use of ML technologies. Operational Excellence Manage multiple complex initiatives simultaneously, balancing innovation, delivery commitments, and operational stability. Ensure adherence to industry best practices, architectural standards, and engineering quality bars. Maintain high levels of team morale, engagement, and delivery velocity. Skills we're looking for PhD in AI, Machine Learning, Computer Science, or a related field, or equivalent depth of industry experience. Deep technical expertise in machine learning, computer vision, and deep learning applied to real world, production systems. 10+ years of hands on experience in machine learning and computer vision, with a substantial portion in leadership roles. Significant experience leading and scaling machine learning teams in a product focused environment. Proven track record of delivering ML solutions end to end, from concept through production and ongoing optimization. Strong experience building and operating MLOps pipelines, data workflows, and production ML systems. Demonstrated ability to influence across organizational boundaries and communicate effectively with both technical and non technical stakeholders. Experience operating in highly dynamic, fast moving environments with competing priorities. Experience with regulated environments, AI governance frameworks, or compliance driven ML development would be beneficial Experience delivering ML solutions with measurable customer or business impact at scale To find out more As an equal opportunity employer, we are dedicated to creating a diverse and inclusive workplace where everyone feels valued and empowered. Please inform your GBG Talent Attraction Partner if you require any reasonable adjustments to the interview process. To chat to the Talent Attraction team and find out more about our benefits and why we're a great place to work, drop an email to we'll be in touch. You can also find out more about careers at Unleash your potential and be part of our mission to power safe and rewarding digital lives.
We are seeking an experienced Azure Network Engineer to design, implement and manage secure cloud networking across hybrid environments supporting mission-critical public sector platforms. This is a hands-on role within a secure, regulated estate. Key Skills and Experience Proven Azure networking experience including VNet, VPN Gateway, NSGs, Azure Firewall, WAF, Load Balancer and Application Gateway Strong understanding of TCP/IP, DNS, DHCP, routing and firewall principles Experience designing hybrid connectivity and hub-and-spoke architectures Automation using Terraform, Azure CLI and PowerShell Monitoring and observability using Azure Monitor, Log Analytics and Network Watcher Strong troubleshooting and incident resolution capability Understanding of Zero Trust principles and ISO27001-aligned environments Desirable Azure Network Engineer Associate certification Experience with Zscaler and Okta Exposure to DevOps practices and CI/CD pipelines Active, current SC clearance is essential for this position.
Feb 28, 2026
Full time
We are seeking an experienced Azure Network Engineer to design, implement and manage secure cloud networking across hybrid environments supporting mission-critical public sector platforms. This is a hands-on role within a secure, regulated estate. Key Skills and Experience Proven Azure networking experience including VNet, VPN Gateway, NSGs, Azure Firewall, WAF, Load Balancer and Application Gateway Strong understanding of TCP/IP, DNS, DHCP, routing and firewall principles Experience designing hybrid connectivity and hub-and-spoke architectures Automation using Terraform, Azure CLI and PowerShell Monitoring and observability using Azure Monitor, Log Analytics and Network Watcher Strong troubleshooting and incident resolution capability Understanding of Zero Trust principles and ISO27001-aligned environments Desirable Azure Network Engineer Associate certification Experience with Zscaler and Okta Exposure to DevOps practices and CI/CD pipelines Active, current SC clearance is essential for this position.
Ernest Gordon Recruitment Limited
Guildford, Surrey
DevOps Systems Engineer (Hybrid Cloud) 60,000 - 65,000 + Progression + Training + Company Benefits + Hybrid Working Guildford (Hybrid 1 day office based per month) Are you a DevOps Engineer with a background in AWS and automation looking to take ownership of complex cloud infrastructure within a growing, forward-thinking business where your ideas genuinely shape technical direction? On offer is the opportunity to join a well-established yet innovative technology business with over 40 years of industry success. The company invests heavily in its people through clear progression routes, funded certifications, and exposure to modern tooling and large-scale infrastructure projects, all within a collaborative and supportive environment. In this role you will take the lead on designing, deploying and maintaining hybrid cloud infrastructure across AWS and private cloud environments. You'll drive automation using Terraform and Ansible, build and improve CI/CD pipelines with GitHub Actions, and implement monitoring and observability solutions to improve reliability and performance across the business. You will also act as a technical escalation point, mentoring junior engineers and influencing best practice. This role would suit a DevOps Engineer looking for a hands-on position with real ownership, autonomy, and long-term career progression. The Role: Designing, deploying and supporting AWS and hybrid cloud infrastructure Building and maintaining CI/CD pipelines using GitHub Actions Implementing monitoring and observability tools (Grafana, Prometheus, CloudWatch) Participating in an on-call rota and incident response Monday to Friday (Hybrid working 1 day a month site based) The Person: DevOps Engineer or similar Commutable to Guildford Job Reference: BBBH24058 If you're looking to join a practice that actively supports your professional growth and creative input, click 'apply now' to submit your latest CV. We are an equal opportunities employer and welcome applications from all suitably qualified candidates. The advertised salary is indicative and will be dependent on experience, qualifications, and skill set. Ernest Gordon Recruitment Limited operates as an employment agency for permanent roles and an employment business for contract positions. By applying, you accept our Terms & Conditions, Privacy Policy, and Disclaimers, available on our website.
Feb 27, 2026
Full time
DevOps Systems Engineer (Hybrid Cloud) 60,000 - 65,000 + Progression + Training + Company Benefits + Hybrid Working Guildford (Hybrid 1 day office based per month) Are you a DevOps Engineer with a background in AWS and automation looking to take ownership of complex cloud infrastructure within a growing, forward-thinking business where your ideas genuinely shape technical direction? On offer is the opportunity to join a well-established yet innovative technology business with over 40 years of industry success. The company invests heavily in its people through clear progression routes, funded certifications, and exposure to modern tooling and large-scale infrastructure projects, all within a collaborative and supportive environment. In this role you will take the lead on designing, deploying and maintaining hybrid cloud infrastructure across AWS and private cloud environments. You'll drive automation using Terraform and Ansible, build and improve CI/CD pipelines with GitHub Actions, and implement monitoring and observability solutions to improve reliability and performance across the business. You will also act as a technical escalation point, mentoring junior engineers and influencing best practice. This role would suit a DevOps Engineer looking for a hands-on position with real ownership, autonomy, and long-term career progression. The Role: Designing, deploying and supporting AWS and hybrid cloud infrastructure Building and maintaining CI/CD pipelines using GitHub Actions Implementing monitoring and observability tools (Grafana, Prometheus, CloudWatch) Participating in an on-call rota and incident response Monday to Friday (Hybrid working 1 day a month site based) The Person: DevOps Engineer or similar Commutable to Guildford Job Reference: BBBH24058 If you're looking to join a practice that actively supports your professional growth and creative input, click 'apply now' to submit your latest CV. We are an equal opportunities employer and welcome applications from all suitably qualified candidates. The advertised salary is indicative and will be dependent on experience, qualifications, and skill set. Ernest Gordon Recruitment Limited operates as an employment agency for permanent roles and an employment business for contract positions. By applying, you accept our Terms & Conditions, Privacy Policy, and Disclaimers, available on our website.
DevOps/Infrastructure Engineer The Role: This is a crucial role in ensuring the network infrastructure is optimised for performance and resilience, and mentoring support staff in network infrastructure best practice. The role combines hands-on support of the product pipeline whilst contributing to the improvement of key systems. Essential Skills: Knowledge of DevOps practices including: CI/CD pipeline design and automation Containerisation and orchestration Monitoring and observability tools Experience in the defence or advanced technology sector Experience with GPU based computer environments Experience with MLOps and associated tooling Experience with data pipelines Experience with Infrastructure as Code Experience with security integration in DevOps i.e. DevSecOps Service-oriented with effective communication skills Ability to prioritize workload under minimal supervision Undergraduate degree or equivalent working experience Essential Tools: Ubuntu and Red Hat Linux Windows 365 environment Gitlab, Gitlab CI Docker, Kubernetes Desirable Tools: Alpine Linux Terraform, Ansible Additional tools as required Benefits: Annual Company Bonus Based on company performance 25 Days holiday not including bank holidays with the option to buy/sell up to 5 days Flexible hybrid working arrangements Continuous professional development including incentives Access to online Udemy training facility to support grade specific learning pathways Electric car scheme Bike to work scheme Private health care (BUPA) Job well done scheme Employer assistance scheme About Us: Synoptix was formed in 2011 to provide engineering solutions across various technical industries. We have evolved from a company established and focussed on Systems Thinking principles into an Engineering company providing solutions and services across three key capabilities: Systems, Cyber & InfoSec and Technology. What makes us stand out is how we engage in the crossover areas between these disciplines, combining our strengths to provide a truly bespoke, market leading approach. Our engineering competence is bolstered by expertise in commercial, legal, financial and resource, thereby ensuring that we uphold excellence in our product and service offerings. Please note that due to the nature of our projects we can only accept Sole UK National candidates who will need to be eligible to obtain UK Security Clearance. By applying to this position, you are confirming that you consent to the retention of your personal data. Your data is held securely on our own premises and under the terms of the Data Protection Act (2018). It will be treated as confidential, and will not be transferred to any third party, or to any other jurisdiction without your consent. We will not hold any data for any longer than is necessary for us to fulfil our obligations and will remove any data at your written request.
Feb 27, 2026
Full time
DevOps/Infrastructure Engineer The Role: This is a crucial role in ensuring the network infrastructure is optimised for performance and resilience, and mentoring support staff in network infrastructure best practice. The role combines hands-on support of the product pipeline whilst contributing to the improvement of key systems. Essential Skills: Knowledge of DevOps practices including: CI/CD pipeline design and automation Containerisation and orchestration Monitoring and observability tools Experience in the defence or advanced technology sector Experience with GPU based computer environments Experience with MLOps and associated tooling Experience with data pipelines Experience with Infrastructure as Code Experience with security integration in DevOps i.e. DevSecOps Service-oriented with effective communication skills Ability to prioritize workload under minimal supervision Undergraduate degree or equivalent working experience Essential Tools: Ubuntu and Red Hat Linux Windows 365 environment Gitlab, Gitlab CI Docker, Kubernetes Desirable Tools: Alpine Linux Terraform, Ansible Additional tools as required Benefits: Annual Company Bonus Based on company performance 25 Days holiday not including bank holidays with the option to buy/sell up to 5 days Flexible hybrid working arrangements Continuous professional development including incentives Access to online Udemy training facility to support grade specific learning pathways Electric car scheme Bike to work scheme Private health care (BUPA) Job well done scheme Employer assistance scheme About Us: Synoptix was formed in 2011 to provide engineering solutions across various technical industries. We have evolved from a company established and focussed on Systems Thinking principles into an Engineering company providing solutions and services across three key capabilities: Systems, Cyber & InfoSec and Technology. What makes us stand out is how we engage in the crossover areas between these disciplines, combining our strengths to provide a truly bespoke, market leading approach. Our engineering competence is bolstered by expertise in commercial, legal, financial and resource, thereby ensuring that we uphold excellence in our product and service offerings. Please note that due to the nature of our projects we can only accept Sole UK National candidates who will need to be eligible to obtain UK Security Clearance. By applying to this position, you are confirming that you consent to the retention of your personal data. Your data is held securely on our own premises and under the terms of the Data Protection Act (2018). It will be treated as confidential, and will not be transferred to any third party, or to any other jurisdiction without your consent. We will not hold any data for any longer than is necessary for us to fulfil our obligations and will remove any data at your written request.
CBSbutler Holdings Limited trading as CBSbutler
City, Manchester
Principal Cloud Platform Engineer - Contract Location: Hybrid (60% office / 40% remote) Rate: 580 - 618 per day - Inside IR35 Engagement: PAYE via Umbrella Company only Role Overview We are seeking an experienced Principal Cloud Platform Engineer to help shape the future of our cloud security and automation capabilities. You will play a key role in expanding our cloud product roadmap, automating remediation and escalation processes, and strengthening our security posture across enterprise platforms. Working closely with engineering, security, and DevOps teams, you will apply modern cloud-native and CI/CD practices to solve real-world business challenges across multiple technology domains. Key Responsibilities Drive cloud infrastructure enhancements aligned to strategic and budgetary objectives. Collaborate with engineering teams on the design, build, and delivery of scalable cloud services. Enable stakeholders to adopt modern cloud-native architectures and best practices. Ensure cloud platforms adhere to security, compliance, and software lifecycle standards. Automate operational workflows, incident remediation, and escalation processes. Essential Skills & Experience Proven experience in cloud engineering with professional certifications (AWS, Azure, or GCP preferred). Ability to translate High-Level Designs (HLD) and Low-Level Designs (LLD) into implementable solutions. Strong scripting skills in PowerShell, Bash, and Python or Java . Deep experience with CI/CD pipelines and Agile/Scrum methodologies. Knowledge of SIEM, cloud security controls, and cloud security tooling . Experience with incident, problem, and change management processes. Hands-on experience with Wiz (Wiz Cloud, Wiz Defend) . Strong containerisation expertise ( Docker, Kubernetes ). Experience with Windows and Red Hat Linux environments. Automation experience using Chef or similar configuration management tools . GCP-Focused Experience (Highly Desirable) Infrastructure automation using Deployment Manager or Terraform . IAM roles, Service Accounts, and Organization Policies. CI/CD tooling including Cloud Build, Artifact Registry, and Cloud Deploy . GCP Networking (VPC, firewall rules, load balancing). Observability and security tooling (Cloud Logging, Monitoring, Security Command Center). Experience with GKE and container orchestration . Desirable Qualifications Experience within financial services or other regulated environments. Bachelor's degree (or higher) in a relevant technical discipline. CISSP or equivalent security certification.
Feb 27, 2026
Contractor
Principal Cloud Platform Engineer - Contract Location: Hybrid (60% office / 40% remote) Rate: 580 - 618 per day - Inside IR35 Engagement: PAYE via Umbrella Company only Role Overview We are seeking an experienced Principal Cloud Platform Engineer to help shape the future of our cloud security and automation capabilities. You will play a key role in expanding our cloud product roadmap, automating remediation and escalation processes, and strengthening our security posture across enterprise platforms. Working closely with engineering, security, and DevOps teams, you will apply modern cloud-native and CI/CD practices to solve real-world business challenges across multiple technology domains. Key Responsibilities Drive cloud infrastructure enhancements aligned to strategic and budgetary objectives. Collaborate with engineering teams on the design, build, and delivery of scalable cloud services. Enable stakeholders to adopt modern cloud-native architectures and best practices. Ensure cloud platforms adhere to security, compliance, and software lifecycle standards. Automate operational workflows, incident remediation, and escalation processes. Essential Skills & Experience Proven experience in cloud engineering with professional certifications (AWS, Azure, or GCP preferred). Ability to translate High-Level Designs (HLD) and Low-Level Designs (LLD) into implementable solutions. Strong scripting skills in PowerShell, Bash, and Python or Java . Deep experience with CI/CD pipelines and Agile/Scrum methodologies. Knowledge of SIEM, cloud security controls, and cloud security tooling . Experience with incident, problem, and change management processes. Hands-on experience with Wiz (Wiz Cloud, Wiz Defend) . Strong containerisation expertise ( Docker, Kubernetes ). Experience with Windows and Red Hat Linux environments. Automation experience using Chef or similar configuration management tools . GCP-Focused Experience (Highly Desirable) Infrastructure automation using Deployment Manager or Terraform . IAM roles, Service Accounts, and Organization Policies. CI/CD tooling including Cloud Build, Artifact Registry, and Cloud Deploy . GCP Networking (VPC, firewall rules, load balancing). Observability and security tooling (Cloud Logging, Monitoring, Security Command Center). Experience with GKE and container orchestration . Desirable Qualifications Experience within financial services or other regulated environments. Bachelor's degree (or higher) in a relevant technical discipline. CISSP or equivalent security certification.
We are delighted to be working in partnership with an established market leader in managed communications technology and systems integration who develop their own products. For over 40 years, they ve been at the forefront of innovation, transforming customer experiences through smarter communications, automation, analytics and AI. They deliver transformative communication and CX solutions throughout the UK and internationally, supporting clients with global reach and ambition. As the business expands, they are looking to onboard a DevOps SysAdmin to support teams across the business for both internal and hosted infrastructures including hardware, operating systems and server-based applications. As a Senior DevOps Systems Administrator, you ll lead automation efforts, work with cutting-edge tools, and be trusted to make key decisions that influence the direction of the business. The DevOps Engineer will help architect robust hybrid cloud solutions and streamline infrastructure with tools like Terraform, Ansible, and GitHub Actions. You ll be working in a collaborative environment that invests in your development with clear progression, technical certifications, and the opportunity to mentor others whilst growing your leadership skills. Key Responsibilities will include: Design, deploy and support infrastructure across AWS and private cloud Automate infrastructure with Terraform and Ansible Build and maintain CI/CD pipelines using GitHub Actions Implement observability tools (Grafana, Prometheus, CloudWatch) Work across teams to improve reliability and security Manage hybrid networks, IAM, firewalls and VPNs The successful DevOps Systems Administrator will have: At least 3-5 years of DevOps experience, including hands-on AWS, Experience with VMware or Proxmox. Strong Linux skills with networking and cloud security knowledge. Experience of working with Terraform, Ansible, and Kubernetes (e.g. EKS) Confident scripting in Bash, Python or Go AWS Certifications and knowledge of security tools such as Trivy would be beneficial. This is a fantastic and exciting opportunity for an experienced Systems Administrator, DevOps Engineer or Platform/Cloud Engineer to work as part of a people-first company that holds exceptional staff retention rates and career development opportunities. The role comes with a generous benefits package, including retail discounts, private healthcare, flexible working arrangements and many more. If you re ambitious, curious and can demonstrate loyalty as an employee, this is your chance to learn and grow your career in a company with pedigree, purpose and potential. Please not that this is a permanent position seeking candidates that can demonstrate longevity of service with their former employers.
Feb 27, 2026
Full time
We are delighted to be working in partnership with an established market leader in managed communications technology and systems integration who develop their own products. For over 40 years, they ve been at the forefront of innovation, transforming customer experiences through smarter communications, automation, analytics and AI. They deliver transformative communication and CX solutions throughout the UK and internationally, supporting clients with global reach and ambition. As the business expands, they are looking to onboard a DevOps SysAdmin to support teams across the business for both internal and hosted infrastructures including hardware, operating systems and server-based applications. As a Senior DevOps Systems Administrator, you ll lead automation efforts, work with cutting-edge tools, and be trusted to make key decisions that influence the direction of the business. The DevOps Engineer will help architect robust hybrid cloud solutions and streamline infrastructure with tools like Terraform, Ansible, and GitHub Actions. You ll be working in a collaborative environment that invests in your development with clear progression, technical certifications, and the opportunity to mentor others whilst growing your leadership skills. Key Responsibilities will include: Design, deploy and support infrastructure across AWS and private cloud Automate infrastructure with Terraform and Ansible Build and maintain CI/CD pipelines using GitHub Actions Implement observability tools (Grafana, Prometheus, CloudWatch) Work across teams to improve reliability and security Manage hybrid networks, IAM, firewalls and VPNs The successful DevOps Systems Administrator will have: At least 3-5 years of DevOps experience, including hands-on AWS, Experience with VMware or Proxmox. Strong Linux skills with networking and cloud security knowledge. Experience of working with Terraform, Ansible, and Kubernetes (e.g. EKS) Confident scripting in Bash, Python or Go AWS Certifications and knowledge of security tools such as Trivy would be beneficial. This is a fantastic and exciting opportunity for an experienced Systems Administrator, DevOps Engineer or Platform/Cloud Engineer to work as part of a people-first company that holds exceptional staff retention rates and career development opportunities. The role comes with a generous benefits package, including retail discounts, private healthcare, flexible working arrangements and many more. If you re ambitious, curious and can demonstrate loyalty as an employee, this is your chance to learn and grow your career in a company with pedigree, purpose and potential. Please not that this is a permanent position seeking candidates that can demonstrate longevity of service with their former employers.
Who are PortSwigger: PortSwigger is a company built around a simple belief: security should empower people, not slow them down. We create world-class tooling that helps security teams and developers uncover and fix real vulnerabilities, the kind that actually matter. Our products are crafted with care, backed by deep research, and shaped by a relentless drive to make the web safer for everyone. We're a successful, engineering-led organisation where small squads are empowered to take forward work in a suitable way, high-leverage work. Curiosity fuels us, craftsmanship defines us, and mutual support keeps us growing together. Here, you'll have real agency, clear direction, and the freedom to push boundaries, supported by thoughtful coaching and a culture that values learning as much as delivery. The Technology Tribe: The Technology tribe builds and runs the platforms, systems and tools that power everything at PortSwigger. From technical direction to day-to-day reliability, they shape the foundation that helps our products shine and our teams move fast with confidence. They embed secure-by-default thinking into everything we do. From managing risk to protecting our systems and data, they take ownership of keeping PortSwigger safe as the company scales. They work hand in hand with Product and Engineering to make smart pragmatic architectural choices. Whether it's levelling up our platforms, simplifying how teams ship or solving hard cross-cutting problems, they make it easier for Swiggers to deliver incredible work at scale. Join Technology if you want to build the systems that help every Swigger work faster, safer and smarter. What we're looking for: Designing and operating cloud-native infrastructure across AWS, Azure, or GCP. Building and maintaining containerised environments using Docker and Kubernetes. Implementing infrastructure as code using tools such as AWS CDK or equivalent. Developing and improving CI/CD pipelines to enable safe, frequent delivery. Automating manual processes to reduce toil and improve system resilience. Operating and scaling distributed systems with reliability and observability in mind. Collaborating closely with product engineering teams to provide robust platform capabilities. Sharing knowledge, reviewing work, and contributing to a high-performance engineering culture. What we're looking for: 5+ years' experience in a Platform, Infrastructure, DevOps, SRE, or similar role. Strong hands-on experience with cloud platforms (AWS, Azure, or GCP). Solid Linux foundations and systems-level problem-solving skills. Experience with Docker, Kubernetes, and container-based architectures. Proficiency in infrastructure as code (e.g., AWS CDK, Terraform, or similar). Experience designing and operating CI/CD pipelines. A track record of scaling systems and reducing operational overhead through automation. A pragmatic mindset with strong decision-making capability. Clear, collaborative communication and openness to feedback. At PortSwigger, we believe people should be paid what they're truly worth - not just what we could get away with or what the market dictates. That's why we pay generously above normal market levels, based on each person's individual skills and contribution. Our approach works: 95% of Swiggers say they're mostly or completely satisfied with their pay and benefits. Alongside a strong base salary, we offer share options and a comprehensive benefits package designed to support both your work and life.
Feb 27, 2026
Full time
Who are PortSwigger: PortSwigger is a company built around a simple belief: security should empower people, not slow them down. We create world-class tooling that helps security teams and developers uncover and fix real vulnerabilities, the kind that actually matter. Our products are crafted with care, backed by deep research, and shaped by a relentless drive to make the web safer for everyone. We're a successful, engineering-led organisation where small squads are empowered to take forward work in a suitable way, high-leverage work. Curiosity fuels us, craftsmanship defines us, and mutual support keeps us growing together. Here, you'll have real agency, clear direction, and the freedom to push boundaries, supported by thoughtful coaching and a culture that values learning as much as delivery. The Technology Tribe: The Technology tribe builds and runs the platforms, systems and tools that power everything at PortSwigger. From technical direction to day-to-day reliability, they shape the foundation that helps our products shine and our teams move fast with confidence. They embed secure-by-default thinking into everything we do. From managing risk to protecting our systems and data, they take ownership of keeping PortSwigger safe as the company scales. They work hand in hand with Product and Engineering to make smart pragmatic architectural choices. Whether it's levelling up our platforms, simplifying how teams ship or solving hard cross-cutting problems, they make it easier for Swiggers to deliver incredible work at scale. Join Technology if you want to build the systems that help every Swigger work faster, safer and smarter. What we're looking for: Designing and operating cloud-native infrastructure across AWS, Azure, or GCP. Building and maintaining containerised environments using Docker and Kubernetes. Implementing infrastructure as code using tools such as AWS CDK or equivalent. Developing and improving CI/CD pipelines to enable safe, frequent delivery. Automating manual processes to reduce toil and improve system resilience. Operating and scaling distributed systems with reliability and observability in mind. Collaborating closely with product engineering teams to provide robust platform capabilities. Sharing knowledge, reviewing work, and contributing to a high-performance engineering culture. What we're looking for: 5+ years' experience in a Platform, Infrastructure, DevOps, SRE, or similar role. Strong hands-on experience with cloud platforms (AWS, Azure, or GCP). Solid Linux foundations and systems-level problem-solving skills. Experience with Docker, Kubernetes, and container-based architectures. Proficiency in infrastructure as code (e.g., AWS CDK, Terraform, or similar). Experience designing and operating CI/CD pipelines. A track record of scaling systems and reducing operational overhead through automation. A pragmatic mindset with strong decision-making capability. Clear, collaborative communication and openness to feedback. At PortSwigger, we believe people should be paid what they're truly worth - not just what we could get away with or what the market dictates. That's why we pay generously above normal market levels, based on each person's individual skills and contribution. Our approach works: 95% of Swiggers say they're mostly or completely satisfied with their pay and benefits. Alongside a strong base salary, we offer share options and a comprehensive benefits package designed to support both your work and life.
Java Engineer - Football Squad Salary Banding: £39,560 - £44,910 per annum Contract: Full-Time, Permanent Working Location: Hybrid, 2 Days a week in the office, minimum Office Locations: Basingstoke, London, Bristol Join Our Team as a Java Engineer at Hawk-Eye Innovations Hi, I'm Peter Laszlo, Backend Discipline Lead and hiring manager for this role. I'm excited to invite you to apply for the Java Engineer position in our Football Squad at Hawk-Eye Innovations. If you're passionate about building scalable backend systems and want to work on high-impact projects for FIFA and UEFA, this could be the ideal role for you. What Your Day Will Look Like As a Java Engineer in our Football Backend Team, you'll play a key role in designing, developing, and optimizing data-intensive backend services that power live football events. Our team is responsible for managing data feeds, event-driven processing, and cloud-based infrastructure to deliver real-time insights to global football leagues and partners. You'll work in an agile environment, collaborating with engineers across our football backend team. Given the high-profile nature of our work, we operate in a fast-moving environment where efficiency and scalability are key to success. What We Value At Hawk-Eye, we believe in collaboration, ownership, and innovation. We strive to create an environment where engineers can contribute meaningfully, solve challenging problems, and improve their skills. Given the pace of work, we value engineers who can hit the ground running, take initiative, and contribute to mission-critical projects from day one. Key Responsibilities Develop, optimize, and maintain backend services using Java (Spring Boot) Work on football-related data pipelines that power FIFA, Serie-A and UEFA operations Deploy and scale applications in AWS (ECS, Lambda, S3, DynamoDB, etc.) Work on event-driven architectures, leveraging message queues (Pulsar, Kafka, RabbitMQ, SQS, etc.) Collaborate with other engineers in the team to meet high-impact project deadlines Ensure system reliability and performance in high-traffic, real-time environments Tech Stack and Skill Requirements Required: Strong Java (preferably Java 17 or later) & Spring Boot experience Experience with AWS Familiarity with observability tools (e.g., Datadog, Prometheus, OpenTelemetry) Understanding of monitoring, logging, and traceability Ability to work efficiently in a fast-paced environment Experience with event-driven architectures (Kafka/Pulsar, RabbitMQ, SQS, etc.) Experience with microservices and distributed systems Bonus Skills: Knowledge of CI/CD pipelines and automation (GitHub Actions, Terraform) Familiarity with containerization and orchestration (Docker, Kubernetes) Exposure to real-time data processing and sports tech Equal Opportunity Employer Hawk-Eye is committed to fostering an inclusive and diverse workplace. We ensure all employees are treated fairly, regardless of gender, marital status, race, nationality, religion, age, disability, or union membership status. We value diversity and strive to create an environment where everyone can reach their full potential. Apply Today If you're excited by the idea of solving real-world problems at scale and want to make a difference in the world of sports tech, we'd love to hear from you.
Feb 27, 2026
Full time
Java Engineer - Football Squad Salary Banding: £39,560 - £44,910 per annum Contract: Full-Time, Permanent Working Location: Hybrid, 2 Days a week in the office, minimum Office Locations: Basingstoke, London, Bristol Join Our Team as a Java Engineer at Hawk-Eye Innovations Hi, I'm Peter Laszlo, Backend Discipline Lead and hiring manager for this role. I'm excited to invite you to apply for the Java Engineer position in our Football Squad at Hawk-Eye Innovations. If you're passionate about building scalable backend systems and want to work on high-impact projects for FIFA and UEFA, this could be the ideal role for you. What Your Day Will Look Like As a Java Engineer in our Football Backend Team, you'll play a key role in designing, developing, and optimizing data-intensive backend services that power live football events. Our team is responsible for managing data feeds, event-driven processing, and cloud-based infrastructure to deliver real-time insights to global football leagues and partners. You'll work in an agile environment, collaborating with engineers across our football backend team. Given the high-profile nature of our work, we operate in a fast-moving environment where efficiency and scalability are key to success. What We Value At Hawk-Eye, we believe in collaboration, ownership, and innovation. We strive to create an environment where engineers can contribute meaningfully, solve challenging problems, and improve their skills. Given the pace of work, we value engineers who can hit the ground running, take initiative, and contribute to mission-critical projects from day one. Key Responsibilities Develop, optimize, and maintain backend services using Java (Spring Boot) Work on football-related data pipelines that power FIFA, Serie-A and UEFA operations Deploy and scale applications in AWS (ECS, Lambda, S3, DynamoDB, etc.) Work on event-driven architectures, leveraging message queues (Pulsar, Kafka, RabbitMQ, SQS, etc.) Collaborate with other engineers in the team to meet high-impact project deadlines Ensure system reliability and performance in high-traffic, real-time environments Tech Stack and Skill Requirements Required: Strong Java (preferably Java 17 or later) & Spring Boot experience Experience with AWS Familiarity with observability tools (e.g., Datadog, Prometheus, OpenTelemetry) Understanding of monitoring, logging, and traceability Ability to work efficiently in a fast-paced environment Experience with event-driven architectures (Kafka/Pulsar, RabbitMQ, SQS, etc.) Experience with microservices and distributed systems Bonus Skills: Knowledge of CI/CD pipelines and automation (GitHub Actions, Terraform) Familiarity with containerization and orchestration (Docker, Kubernetes) Exposure to real-time data processing and sports tech Equal Opportunity Employer Hawk-Eye is committed to fostering an inclusive and diverse workplace. We ensure all employees are treated fairly, regardless of gender, marital status, race, nationality, religion, age, disability, or union membership status. We value diversity and strive to create an environment where everyone can reach their full potential. Apply Today If you're excited by the idea of solving real-world problems at scale and want to make a difference in the world of sports tech, we'd love to hear from you.
TransUnion's Job Applicant Privacy Notice What We'll Bring: We Are TransUnion: TransUnion is a major credit reference agency, and we offer specialist services in fraud, identity and risk management, automated decisioning and demographics. We support organisations across a variety of sectors including finance, retail, telecommunications, utilities, gaming, government and insurance. What You'll Bring: We're looking for a Software Developer to join our growing Integrations and Decisioning team. Day to Day You'll Be: Design and build reliable backend systems and infrastructure tooling Use TDD to write high-quality, maintainable code and build out automated test suites Own reliability, observability, and performance of key services Collaborate with clients to understand requirements, debug issues, and propose solutions Drive improvements to system architecture, automation, and deployment processes Mentor junior developers and contribute to a strong engineering culture Take ownership of problems-investigate, iterate, and fix Essential Skills & Experience: Strong programming skills in Node.js or similar backend language Understanding of TDD and a focus on automated testing Comfort working directly with clients to gather requirements and debug issues Strong problem-solving skills and a desire to understand the root cause of complex issues Clear communicator-both in writing and on calls Desirable Skills & Experience: Experience owning backend systems in production environments Experience with Cloud Platforms AWS or GCP Infrastructure-as-code, CI/CD, and observability tooling Experience scaling systems under sustained load Contributions to internal tooling or open source Experience with large datasets and machine learning models Impact You'll Make: What's In It For you? At TransUnion you will be joining a friendly, forward thinking global business. As well as an excellent salary and bonus scheme or commission scheme (if joining our sales teams) our benefits package comes with: 26 days' annual leave + bank holidays (increasing with service) Global paid wellness days off + a bonus day off to celebrate your birthday A generous contributory pension scheme + access to the TransUnion Employee Stock Purchase Plan Private health care + a variety of physical, mental and financial fitness wellbeing programmes such as access to mindfulness tools Access to our diversity forums and communities so you can get involved in causes close to your heart TransUnion - a place to grow: If there's something on the list of essential / desirable skills that you can't quite tick off, don't let that put you off applying. We are open to exploring training and development opportunities for the right candidate to ensure you are successful. We know imposter syndrome is real, lets confront it so we can continue to grow and thrive together. Flexibility at TU: We recognise that our people need the freedom to balance their day-to-day lives with their work. This is why we've set out to create inclusive and flexible policies and practices for you to accommodate all your responsibilities and needs: children, family and beyond. If the role is advertised as full time, don't let this stop you from applying. Let us know if you're looking for a part time or flexible working arrangement and we can discuss this with you. Additional support: At TransUnion, we're committed to fostering an inclusive and diverse workplace where all individual's talents and perspectives are valued. When you apply for a position with us, you're not just joining a team, you're becoming part of a community that celebrates differences and embraces equality. We understand that everyone has different needs, which is why we offer a range of reasonable adjustments to our recruitment process. Please let us know if you require any reasonable adjustments to help you through the application process or to attend an interview with us by contacting (url removed) Interview & Hiring Process: Most of our recruitment processes are virtual, so you'll get to know our hiring managers and teams over the phone and through video. If we need you to attend a physical in person interview your recruiter will inform you of this. We do not accept any unsolicited CV's from recruitment agencies. If you are a recruitment agency on our PSL our talent team will contact you directly should we require any assistance. Find out more about Life At TU UK: (url removed) Job Title Sr Engineer, Software Development
Feb 27, 2026
Full time
TransUnion's Job Applicant Privacy Notice What We'll Bring: We Are TransUnion: TransUnion is a major credit reference agency, and we offer specialist services in fraud, identity and risk management, automated decisioning and demographics. We support organisations across a variety of sectors including finance, retail, telecommunications, utilities, gaming, government and insurance. What You'll Bring: We're looking for a Software Developer to join our growing Integrations and Decisioning team. Day to Day You'll Be: Design and build reliable backend systems and infrastructure tooling Use TDD to write high-quality, maintainable code and build out automated test suites Own reliability, observability, and performance of key services Collaborate with clients to understand requirements, debug issues, and propose solutions Drive improvements to system architecture, automation, and deployment processes Mentor junior developers and contribute to a strong engineering culture Take ownership of problems-investigate, iterate, and fix Essential Skills & Experience: Strong programming skills in Node.js or similar backend language Understanding of TDD and a focus on automated testing Comfort working directly with clients to gather requirements and debug issues Strong problem-solving skills and a desire to understand the root cause of complex issues Clear communicator-both in writing and on calls Desirable Skills & Experience: Experience owning backend systems in production environments Experience with Cloud Platforms AWS or GCP Infrastructure-as-code, CI/CD, and observability tooling Experience scaling systems under sustained load Contributions to internal tooling or open source Experience with large datasets and machine learning models Impact You'll Make: What's In It For you? At TransUnion you will be joining a friendly, forward thinking global business. As well as an excellent salary and bonus scheme or commission scheme (if joining our sales teams) our benefits package comes with: 26 days' annual leave + bank holidays (increasing with service) Global paid wellness days off + a bonus day off to celebrate your birthday A generous contributory pension scheme + access to the TransUnion Employee Stock Purchase Plan Private health care + a variety of physical, mental and financial fitness wellbeing programmes such as access to mindfulness tools Access to our diversity forums and communities so you can get involved in causes close to your heart TransUnion - a place to grow: If there's something on the list of essential / desirable skills that you can't quite tick off, don't let that put you off applying. We are open to exploring training and development opportunities for the right candidate to ensure you are successful. We know imposter syndrome is real, lets confront it so we can continue to grow and thrive together. Flexibility at TU: We recognise that our people need the freedom to balance their day-to-day lives with their work. This is why we've set out to create inclusive and flexible policies and practices for you to accommodate all your responsibilities and needs: children, family and beyond. If the role is advertised as full time, don't let this stop you from applying. Let us know if you're looking for a part time or flexible working arrangement and we can discuss this with you. Additional support: At TransUnion, we're committed to fostering an inclusive and diverse workplace where all individual's talents and perspectives are valued. When you apply for a position with us, you're not just joining a team, you're becoming part of a community that celebrates differences and embraces equality. We understand that everyone has different needs, which is why we offer a range of reasonable adjustments to our recruitment process. Please let us know if you require any reasonable adjustments to help you through the application process or to attend an interview with us by contacting (url removed) Interview & Hiring Process: Most of our recruitment processes are virtual, so you'll get to know our hiring managers and teams over the phone and through video. If we need you to attend a physical in person interview your recruiter will inform you of this. We do not accept any unsolicited CV's from recruitment agencies. If you are a recruitment agency on our PSL our talent team will contact you directly should we require any assistance. Find out more about Life At TU UK: (url removed) Job Title Sr Engineer, Software Development
We're hiring an experienced AI Platform Engineer to design, build and operate a production-grade Generative AI platform powering next-generation intelligent products. This is a hands-on engineering role focused on taking AI solutions from prototype to scalable, reliable services used in real-world environments. You'll sit at the intersection of DevOps, cloud infrastructure and applied AI owning the full lifecycle of Retrieval-Augmented Generation (RAG) and LLM-powered systems across modern cloud architecture. This role is about engineering, not research. You will architect and run the infrastructure that enables AI to perform securely, reliably and at scale ensuring performance, cost control and operational maturity as adoption grows. You'll work closely with AI engineers, security teams, and product stakeholders to transform experimental models into hardened, production-ready services while shaping a reusable AI platform capable of supporting multiple products. What You'll Be Doing Design and optimise scalable RAG pipelines and vector search systems Orchestrate multi-model AI services with a focus on latency, resilience and performance Productionise GenAI workflows and ensure they operate reliably under real usage Build and run AI services across AWS and Databricks Develop ingestion, embedding and retrieval pipelines Deploy containerised workloads via Kubernetes and Helm Implement Infrastructure-as-Code using Terraform Introduce end-to-end monitoring, tracing and alerting for AI workloads Improve inference and retrieval performance while reducing operational cost Establish fault-tolerant, scalable infrastructure patterns Embed security, evaluation and governance into the AI lifecycle Build CI/CD pipelines and automation to support continuous model deployment Create reusable platform components to accelerate future AI initiatives Strong experience in: Cloud infrastructure engineering (AWS-focused environments) Kubernetes, containerisation, and distributed systems Terraform / Infrastructure-as-Code CI/CD, automation, and platform reliability Running production workloads with high availability requirements Plus, experience with one or more of the following: MLOps or ML platform engineering RAG architectures, embeddings, or vector search Model serving, observability or performance optimisation Data / AI workflow orchestration in Databricks or similar ecosystems Why Join? Work on real-world AI systems operating at scale Own platform design decisions and influence long-term architecture Blend modern DevOps practices with cutting-edge Generative AI use cases Be part of a growing, innovation-driven engineering environment Opportunity to define how AI is operationalised across multiple products If you're excited by building the infrastructure that makes AI usable, scalable and reliable in production, we'd love to hear from you. 49914MS INDLON Portfolio Payroll Ltd is acting as an Employment Agency in relation to this vacancy.
Feb 27, 2026
Full time
We're hiring an experienced AI Platform Engineer to design, build and operate a production-grade Generative AI platform powering next-generation intelligent products. This is a hands-on engineering role focused on taking AI solutions from prototype to scalable, reliable services used in real-world environments. You'll sit at the intersection of DevOps, cloud infrastructure and applied AI owning the full lifecycle of Retrieval-Augmented Generation (RAG) and LLM-powered systems across modern cloud architecture. This role is about engineering, not research. You will architect and run the infrastructure that enables AI to perform securely, reliably and at scale ensuring performance, cost control and operational maturity as adoption grows. You'll work closely with AI engineers, security teams, and product stakeholders to transform experimental models into hardened, production-ready services while shaping a reusable AI platform capable of supporting multiple products. What You'll Be Doing Design and optimise scalable RAG pipelines and vector search systems Orchestrate multi-model AI services with a focus on latency, resilience and performance Productionise GenAI workflows and ensure they operate reliably under real usage Build and run AI services across AWS and Databricks Develop ingestion, embedding and retrieval pipelines Deploy containerised workloads via Kubernetes and Helm Implement Infrastructure-as-Code using Terraform Introduce end-to-end monitoring, tracing and alerting for AI workloads Improve inference and retrieval performance while reducing operational cost Establish fault-tolerant, scalable infrastructure patterns Embed security, evaluation and governance into the AI lifecycle Build CI/CD pipelines and automation to support continuous model deployment Create reusable platform components to accelerate future AI initiatives Strong experience in: Cloud infrastructure engineering (AWS-focused environments) Kubernetes, containerisation, and distributed systems Terraform / Infrastructure-as-Code CI/CD, automation, and platform reliability Running production workloads with high availability requirements Plus, experience with one or more of the following: MLOps or ML platform engineering RAG architectures, embeddings, or vector search Model serving, observability or performance optimisation Data / AI workflow orchestration in Databricks or similar ecosystems Why Join? Work on real-world AI systems operating at scale Own platform design decisions and influence long-term architecture Blend modern DevOps practices with cutting-edge Generative AI use cases Be part of a growing, innovation-driven engineering environment Opportunity to define how AI is operationalised across multiple products If you're excited by building the infrastructure that makes AI usable, scalable and reliable in production, we'd love to hear from you. 49914MS INDLON Portfolio Payroll Ltd is acting as an Employment Agency in relation to this vacancy.
Platform Engineer - AWS/Terraform Global Financial Services organisation Location:London Salary:£85,000 - £100,000 + benefits + bonus (20%) Hybrid:In office 3 days per week Company Overview Join a leading global financial services organisation in the heart of London and drive innovation. The Platform Engineering team seeks an ambitious Engineer specialising in AWS, Python, Terraform, Git for CI/CD, and Docker to create a cutting-edge platform for rapid, reliable software development and deployment. What's In It For You Global:Join a dynamic team at a top Financial Services Firm. Continuous Learning:Access paid training for professional growth. Work-Life Balance:Flexible work arrangements, with 3 days in the central London office. Collaboration:Work closely with development teams on monitoring metrics and CI/CD pipeline development. Comprehensive benefits package: Including private healthcare with digital GP access, generous pension with employer match, life and income protection, 25 days' holiday, family-friendly policies, wellness support, learning sponsorship, and perks like cycle-to-work, season ticket loans, and free office refreshments. Exciting Projects:Engage in complex, challenging projects. Role Responsibilities System Management:Monitor and manage AWS-focused systems and infrastructure. Platform Operations:Build and maintain a platform for cloud and on-premise application provisioning and operation. Configuration and Maintenance:Install, configure, test, and maintain operating systems, software, and infrastructure tools. CI/CD Development:Develop a continuous integration and deployment platform integrated with development tools. Developer Experience:Enhance developer experience in cloud infrastructure and application deployment. Policy and Guidelines:Develop policies, standards, and guidelines for Infrastructure as Code (IAC) and CI/CD processes. Automation:Implement workflow and toolchain improvements for task automation. Required Skills and Experience Experience:Minimum 5 years in a professional Platform Engineering role. Cloud Proficiency:Securely deploy and manage AWS applications, with cloud-native tooling and security best practices. Scripting Skills:Proficiency in Python. Docker Proficiency:Experience with Docker containerisation for software deployment and scalability. CI/CD Expertise:Automate software build, test, and deployment pipelines following agile methodologies. Terraform Exposure:Beneficial experience with Terraform. Observability Tools:Experience with Grafana and Splunk is beneficial, particularly in developing and applying an observability strategy across a large organisation. Learn More For more information, contact George Harris at Harrington Starr for a confidential conversation, or click "Apply" to start your application.
Feb 27, 2026
Full time
Platform Engineer - AWS/Terraform Global Financial Services organisation Location:London Salary:£85,000 - £100,000 + benefits + bonus (20%) Hybrid:In office 3 days per week Company Overview Join a leading global financial services organisation in the heart of London and drive innovation. The Platform Engineering team seeks an ambitious Engineer specialising in AWS, Python, Terraform, Git for CI/CD, and Docker to create a cutting-edge platform for rapid, reliable software development and deployment. What's In It For You Global:Join a dynamic team at a top Financial Services Firm. Continuous Learning:Access paid training for professional growth. Work-Life Balance:Flexible work arrangements, with 3 days in the central London office. Collaboration:Work closely with development teams on monitoring metrics and CI/CD pipeline development. Comprehensive benefits package: Including private healthcare with digital GP access, generous pension with employer match, life and income protection, 25 days' holiday, family-friendly policies, wellness support, learning sponsorship, and perks like cycle-to-work, season ticket loans, and free office refreshments. Exciting Projects:Engage in complex, challenging projects. Role Responsibilities System Management:Monitor and manage AWS-focused systems and infrastructure. Platform Operations:Build and maintain a platform for cloud and on-premise application provisioning and operation. Configuration and Maintenance:Install, configure, test, and maintain operating systems, software, and infrastructure tools. CI/CD Development:Develop a continuous integration and deployment platform integrated with development tools. Developer Experience:Enhance developer experience in cloud infrastructure and application deployment. Policy and Guidelines:Develop policies, standards, and guidelines for Infrastructure as Code (IAC) and CI/CD processes. Automation:Implement workflow and toolchain improvements for task automation. Required Skills and Experience Experience:Minimum 5 years in a professional Platform Engineering role. Cloud Proficiency:Securely deploy and manage AWS applications, with cloud-native tooling and security best practices. Scripting Skills:Proficiency in Python. Docker Proficiency:Experience with Docker containerisation for software deployment and scalability. CI/CD Expertise:Automate software build, test, and deployment pipelines following agile methodologies. Terraform Exposure:Beneficial experience with Terraform. Observability Tools:Experience with Grafana and Splunk is beneficial, particularly in developing and applying an observability strategy across a large organisation. Learn More For more information, contact George Harris at Harrington Starr for a confidential conversation, or click "Apply" to start your application.
