Senior Python Developer Salary: Up to £90,000 + Bonus + Benefits Location: Ipswich Working Pattern: Hybrid Job Type: Permanent An exciting opportunity has arisen for an experienced Senior Python Developer to join a large scale technology environment, developing automation solutions, backend services and tooling supporting complex telecoms and network operations. This Senior Python Developer is a hands on engineering position with a strong focus on Python, REST APIs, automation and backend development. You will work across applications supporting testing, monitoring and operational efficiency within 5G and enterprise platforms, with exposure to Linux, Docker, CI/CD, databases and network technologies. The role would suit a strong Python Engineer who enjoys solving complex technical problems and wants to work across both software engineering and network automation. Responsibilities for the Senior Python Developer: Design, develop and maintain Python based automation frameworks and scripts supporting network testing, data processing and operational workflows Build RESTful APIs using Flask and FastAPI for internal services and cross team integrations Develop lightweight web based dashboards and interfaces using HTML, CSS, JavaScript and Jinja2 Work with PostgreSQL, MySQL, MongoDB and Redis for application, configuration and testing data Build and maintain Docker and Docker Compose environments for application deployment and testing Develop and maintain CI/CD pipelines using Jenkins and GitLab Develop Linux automation using Bash, shell scripting and cron jobs Integrate Python applications with telecom network systems and APIs Build automated validation, health checking and service monitoring capabilities Implement effective logging, monitoring and error handling across automation services Work closely with QA, Network Engineering and DevOps teams to identify and deliver automation opportunities Support the development of scalable, reliable and maintainable engineering solutions Essential Skills & Experience for the Senior Python Developer: Strong commercial Python development experience. Strong experience designing and developing REST APIs using Flask and/or FastAPI Experience with API authentication, error handling and documentation Experience with HTML, CSS and Jinja2 for lightweight web interfaces Strong database experience across SQL and NoSQL technologies Experience with PostgreSQL and/or MySQL Experience with MongoDB and/or Redis Strong experience working within Linux environments, including Bash and shell scripting Experience building and deploying applications using Docker and Docker Compose Experience with CI/CD, ideally Jenkins and/or GitLab CI/CD Strong Git/version control experience Experience with Python automation libraries such as Requests, Paramiko, Subprocess, Schedule and Pandas Good understanding of networking fundamentals including HTTP, TCP/IP, DNS and SSH Desirable Skills for the Senior Python Developer: Telecoms or network automation experience Knowledge of 4G Core, 5G or Service Based Architecture (SBA) Experience with RabbitMQ or Kafka and event driven architectures OpenStack experience Infrastructure as Code knowledge Test automation experience using Pytest, Selenium or Playwright Monitoring experience using Grafana, ELK Stack or Prometheus Experience working within Agile/Scrum environments Python Developer, Software Developer, Software Engineer, Python, Python Programmer, Senior Python Developer
Aug 24, 2026
Full time
Senior Python Developer Salary: Up to £90,000 + Bonus + Benefits Location: Ipswich Working Pattern: Hybrid Job Type: Permanent An exciting opportunity has arisen for an experienced Senior Python Developer to join a large scale technology environment, developing automation solutions, backend services and tooling supporting complex telecoms and network operations. This Senior Python Developer is a hands on engineering position with a strong focus on Python, REST APIs, automation and backend development. You will work across applications supporting testing, monitoring and operational efficiency within 5G and enterprise platforms, with exposure to Linux, Docker, CI/CD, databases and network technologies. The role would suit a strong Python Engineer who enjoys solving complex technical problems and wants to work across both software engineering and network automation. Responsibilities for the Senior Python Developer: Design, develop and maintain Python based automation frameworks and scripts supporting network testing, data processing and operational workflows Build RESTful APIs using Flask and FastAPI for internal services and cross team integrations Develop lightweight web based dashboards and interfaces using HTML, CSS, JavaScript and Jinja2 Work with PostgreSQL, MySQL, MongoDB and Redis for application, configuration and testing data Build and maintain Docker and Docker Compose environments for application deployment and testing Develop and maintain CI/CD pipelines using Jenkins and GitLab Develop Linux automation using Bash, shell scripting and cron jobs Integrate Python applications with telecom network systems and APIs Build automated validation, health checking and service monitoring capabilities Implement effective logging, monitoring and error handling across automation services Work closely with QA, Network Engineering and DevOps teams to identify and deliver automation opportunities Support the development of scalable, reliable and maintainable engineering solutions Essential Skills & Experience for the Senior Python Developer: Strong commercial Python development experience. Strong experience designing and developing REST APIs using Flask and/or FastAPI Experience with API authentication, error handling and documentation Experience with HTML, CSS and Jinja2 for lightweight web interfaces Strong database experience across SQL and NoSQL technologies Experience with PostgreSQL and/or MySQL Experience with MongoDB and/or Redis Strong experience working within Linux environments, including Bash and shell scripting Experience building and deploying applications using Docker and Docker Compose Experience with CI/CD, ideally Jenkins and/or GitLab CI/CD Strong Git/version control experience Experience with Python automation libraries such as Requests, Paramiko, Subprocess, Schedule and Pandas Good understanding of networking fundamentals including HTTP, TCP/IP, DNS and SSH Desirable Skills for the Senior Python Developer: Telecoms or network automation experience Knowledge of 4G Core, 5G or Service Based Architecture (SBA) Experience with RabbitMQ or Kafka and event driven architectures OpenStack experience Infrastructure as Code knowledge Test automation experience using Pytest, Selenium or Playwright Monitoring experience using Grafana, ELK Stack or Prometheus Experience working within Agile/Scrum environments Python Developer, Software Developer, Software Engineer, Python, Python Programmer, Senior Python Developer
Lead AI Engineer Leeds or Edinburgh 72,000 - 108,000 Your new role The Data, Technology and Innovation (DTI) division enables the group to be a digital-first, data-led smart regulator by delivering a secure, agile, and cost-effective technology and data ecosystem that drives better decisions, transparency, and operational efficiency. Working alongside the wider AI Programme (which will continue to oversee/coordinate AI activity across the group), the department will partner with business leads to shape and deliver work in priority areas - Authorisations, SPC, EMO and Anti Money Laundering. Responsibilities Standardise and advance reusable AI solution patterns and reference architectures, improving cross-team consistency and delivery quality to enable more reliable and scalable product development Establish end-to-end technical architectures for LLM-enabled systems, covering data pipelines, retrieval/RAG, prompt orchestration and agent workflows to support robust and effective AI implementation Analyse complex constraints across product, data, security, legal and operations, translating them into clear standards and recommendations to enable delivery of highly complex AI solutions Enhance CI/CD pipelines for AI systems, introducing automation, traceability and controlled release processes to ensure safe and repeatable deployments. Define monitoring, observability and operational strategies, improving visibility across quality, performance, safety, cost and reliability to support effective issue diagnosis and resolution Set standards for prompt engineering, evaluation and testing, enhancing solution quality and behavioural consistency to support teams in resolving complex model challenges Advance digital and data-driven methods by shaping organisational practices and innovation efforts that produce measurable improvements in performance and efficiency Collaborate with senior stakeholders to deliver analytics-led solutions, addressing regulatory challenges and generating organisational impact to contribute to improved decision-making and long-term economic outcomes Experience needed Extensive backend engineering experience building production services such as APIs and microservices with solid software engineering fundamentals combined with experience developing technical architecture and designs and taking them through enterprise review processes Experience delivering cloud solutions on AWS including deploying, operating and troubleshooting services in live environments Working knowledge of modern DevOps practices such as CI/CD, containerisation and monitoring with experience collaborating with engineers to deliver iteratively Solid backend engineering experience, with experience designing, building and running reliable services in production (performance, resilience and security) Direct experience building and operating solutions on AWS, including AWS AI services and the supporting platform services required for production delivery AI engineering experience delivering LLM-enabled systems using LLM APIs/Bedrock, including RAG architectures, vector databases and orchestration frameworks DevOps skills including CI/CD pipelines, containerisation and monitoring/observability, with experience defining release and operating practices for AI services Experience Leading Engineering teams: providing technical guidance, aligning on standards/patterns, and adapting plans to resolve delivery and operational challenges Demonstrable capability in prompt design and in setting evaluation/testing approaches for LLM solutions (quality, safety/guardrails and performance), including defining measurable success criteria Benefits 28 days annual leave plus bank holidays Hybrid model where employees work a minimum of 40% in the office each month (expectation of 50% for senior leaders). Non-contributory pension (8-12% depending on age) and life assurance at eight times your salary Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)
Aug 24, 2026
Full time
Lead AI Engineer Leeds or Edinburgh 72,000 - 108,000 Your new role The Data, Technology and Innovation (DTI) division enables the group to be a digital-first, data-led smart regulator by delivering a secure, agile, and cost-effective technology and data ecosystem that drives better decisions, transparency, and operational efficiency. Working alongside the wider AI Programme (which will continue to oversee/coordinate AI activity across the group), the department will partner with business leads to shape and deliver work in priority areas - Authorisations, SPC, EMO and Anti Money Laundering. Responsibilities Standardise and advance reusable AI solution patterns and reference architectures, improving cross-team consistency and delivery quality to enable more reliable and scalable product development Establish end-to-end technical architectures for LLM-enabled systems, covering data pipelines, retrieval/RAG, prompt orchestration and agent workflows to support robust and effective AI implementation Analyse complex constraints across product, data, security, legal and operations, translating them into clear standards and recommendations to enable delivery of highly complex AI solutions Enhance CI/CD pipelines for AI systems, introducing automation, traceability and controlled release processes to ensure safe and repeatable deployments. Define monitoring, observability and operational strategies, improving visibility across quality, performance, safety, cost and reliability to support effective issue diagnosis and resolution Set standards for prompt engineering, evaluation and testing, enhancing solution quality and behavioural consistency to support teams in resolving complex model challenges Advance digital and data-driven methods by shaping organisational practices and innovation efforts that produce measurable improvements in performance and efficiency Collaborate with senior stakeholders to deliver analytics-led solutions, addressing regulatory challenges and generating organisational impact to contribute to improved decision-making and long-term economic outcomes Experience needed Extensive backend engineering experience building production services such as APIs and microservices with solid software engineering fundamentals combined with experience developing technical architecture and designs and taking them through enterprise review processes Experience delivering cloud solutions on AWS including deploying, operating and troubleshooting services in live environments Working knowledge of modern DevOps practices such as CI/CD, containerisation and monitoring with experience collaborating with engineers to deliver iteratively Solid backend engineering experience, with experience designing, building and running reliable services in production (performance, resilience and security) Direct experience building and operating solutions on AWS, including AWS AI services and the supporting platform services required for production delivery AI engineering experience delivering LLM-enabled systems using LLM APIs/Bedrock, including RAG architectures, vector databases and orchestration frameworks DevOps skills including CI/CD pipelines, containerisation and monitoring/observability, with experience defining release and operating practices for AI services Experience Leading Engineering teams: providing technical guidance, aligning on standards/patterns, and adapting plans to resolve delivery and operational challenges Demonstrable capability in prompt design and in setting evaluation/testing approaches for LLM solutions (quality, safety/guardrails and performance), including defining measurable success criteria Benefits 28 days annual leave plus bank holidays Hybrid model where employees work a minimum of 40% in the office each month (expectation of 50% for senior leaders). Non-contributory pension (8-12% depending on age) and life assurance at eight times your salary Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)
Morela is proud to be supporting a private, entrepreneurial family-owned real estate group with a multi-billion-pound property portfolio and a private credit book. Long established, cash generative, and quietly one of the larger privately held property businesses in the country. Not a name you will see on job boards, because they have never needed to advertise. And, remarkably, no data platform. Property management, asset management and accounting all sit in separate systems that do not talk to each other, which means nobody in the business has a single, trusted view of what it owns. They could have bought something off the shelf. They could have handed it to a consultancy. Instead, they have decided to build it properly, in-house, and this is the person who builds it. This is a blank page. You choose the stack. You design the model. You decide what gets built and what gets bought. There is no legacy platform to inherit and no architect sitting above you telling you how it is done. Because the business is family-owned, it actually moves: no steering committee, no six-week approval cycle, no business case to defend three times before you write a line of code. You will sit alongside the principals and the operating teams, so what you build goes live and gets used that week. Get the foundation right and the question that follows is a genuinely interesting one: whether the tooling you have built internally becomes a product in its own right. YOUR ROLE Set the direction. Identify and translate the organisation's highest-value problems into a technical roadmap, balancing a robust platform architecture against rapid delivery. Build the foundation. Design the data model that operates as a single source of truth, and the pipelines that store and reconcile properties, entities, leases, tenants, projects, invoices, cash flows, valuations and documents across multiple sources. Connect the estate. Build integrations with third-party vendors across APIs, webhooks, direct database access and scheduled ingestion. Kill the manual work. Eliminate repetitive manual work across internal workflows: data collection, validation, approvals, reconciliations, reminders, document generation and reporting. Ship what people use. Deliver dashboards, reports, alerts and internal applications that principals and operating teams can trust and actually use. Put AI to work properly. Build LLM pipelines for extraction, classification, retrieval and workflow support, with evaluations, human-in-the-loop oversight and auditability, so it is explainable rather than a black box. Set the bar. Set the standards for security, testing, deployment, monitoring and documentation, manage selected vendors, build the engineering culture, and mentor the junior data engineer. WHAT WE ARE LOOKING FOR A strong record of building and operating reliable pipelines, integrations, data models or platforms that serve real users and business-critical decisions. Strong programming fundamentals in Python, TypeScript and SQL at expert working level, covering testing, performance and maintainability, with the judgement to review others' code and hold a high-quality bar. Confidence building robust REST APIs, working with relational databases such as PostgreSQL, modelling data, running ETL/ELT pipelines, and making pragmatic build-versus-buy calls. Experience deploying production systems in AWS, Azure or GCP, accounting for monitoring, secrets management, access control, backups and disaster recovery. Experience with production LLM pipelines: context engineering, evaluation, retrieval, tool use and guardrails. Experience taking a platform from prototype to production or working in an early-stage environment with a rapidly evolving product. Mature judgement handling financially sensitive, personal and commercially confidential information in a regulated industry. The ability to set direction, mentor a junior colleague and introduce engineering discipline while staying practical, fast and close to end users. Curiosity about how internal tools can be abstracted and generalised into a product. HELPFUL, BUT NOT ESSENTIAL Proptech, fintech, accounting technology, asset management, construction, private investment operations or another data-intensive regulated environment. Modern data warehouses, transformation and orchestration tooling, business intelligence platforms and internal web applications. Document processing, OCR, search and retrieval systems, workflow engines or human-in-the-loop review tools. UK data protection, information security and operational resilience principles. WHY THIS ONE IS WORTH A CONVERSATION Scope most senior engineers never get. The platform is yours to define, not someone else's to maintain. Direct access to the people who decide, without the layers that slow good engineering down. Real AI work with real constraints, where auditability and evaluation matter as much as the model. The stability of a long-established, cash-generative business, with the pace and the blank page of an early-stage one. THE PROCESS Morela is supporting this search and managing the process end to end. If the brief resonates, get in touch for a confidential conversation before you commit to anything; the client is named only once you are happy to be represented. Appointment will be subject to appropriate references, background checks and a confidentiality agreement. We welcome applicants from different backgrounds whose skills and evidence meet the requirements, and reasonable adjustments are available throughout the process. For immediate consideration email (url removed)
Aug 24, 2026
Full time
Morela is proud to be supporting a private, entrepreneurial family-owned real estate group with a multi-billion-pound property portfolio and a private credit book. Long established, cash generative, and quietly one of the larger privately held property businesses in the country. Not a name you will see on job boards, because they have never needed to advertise. And, remarkably, no data platform. Property management, asset management and accounting all sit in separate systems that do not talk to each other, which means nobody in the business has a single, trusted view of what it owns. They could have bought something off the shelf. They could have handed it to a consultancy. Instead, they have decided to build it properly, in-house, and this is the person who builds it. This is a blank page. You choose the stack. You design the model. You decide what gets built and what gets bought. There is no legacy platform to inherit and no architect sitting above you telling you how it is done. Because the business is family-owned, it actually moves: no steering committee, no six-week approval cycle, no business case to defend three times before you write a line of code. You will sit alongside the principals and the operating teams, so what you build goes live and gets used that week. Get the foundation right and the question that follows is a genuinely interesting one: whether the tooling you have built internally becomes a product in its own right. YOUR ROLE Set the direction. Identify and translate the organisation's highest-value problems into a technical roadmap, balancing a robust platform architecture against rapid delivery. Build the foundation. Design the data model that operates as a single source of truth, and the pipelines that store and reconcile properties, entities, leases, tenants, projects, invoices, cash flows, valuations and documents across multiple sources. Connect the estate. Build integrations with third-party vendors across APIs, webhooks, direct database access and scheduled ingestion. Kill the manual work. Eliminate repetitive manual work across internal workflows: data collection, validation, approvals, reconciliations, reminders, document generation and reporting. Ship what people use. Deliver dashboards, reports, alerts and internal applications that principals and operating teams can trust and actually use. Put AI to work properly. Build LLM pipelines for extraction, classification, retrieval and workflow support, with evaluations, human-in-the-loop oversight and auditability, so it is explainable rather than a black box. Set the bar. Set the standards for security, testing, deployment, monitoring and documentation, manage selected vendors, build the engineering culture, and mentor the junior data engineer. WHAT WE ARE LOOKING FOR A strong record of building and operating reliable pipelines, integrations, data models or platforms that serve real users and business-critical decisions. Strong programming fundamentals in Python, TypeScript and SQL at expert working level, covering testing, performance and maintainability, with the judgement to review others' code and hold a high-quality bar. Confidence building robust REST APIs, working with relational databases such as PostgreSQL, modelling data, running ETL/ELT pipelines, and making pragmatic build-versus-buy calls. Experience deploying production systems in AWS, Azure or GCP, accounting for monitoring, secrets management, access control, backups and disaster recovery. Experience with production LLM pipelines: context engineering, evaluation, retrieval, tool use and guardrails. Experience taking a platform from prototype to production or working in an early-stage environment with a rapidly evolving product. Mature judgement handling financially sensitive, personal and commercially confidential information in a regulated industry. The ability to set direction, mentor a junior colleague and introduce engineering discipline while staying practical, fast and close to end users. Curiosity about how internal tools can be abstracted and generalised into a product. HELPFUL, BUT NOT ESSENTIAL Proptech, fintech, accounting technology, asset management, construction, private investment operations or another data-intensive regulated environment. Modern data warehouses, transformation and orchestration tooling, business intelligence platforms and internal web applications. Document processing, OCR, search and retrieval systems, workflow engines or human-in-the-loop review tools. UK data protection, information security and operational resilience principles. WHY THIS ONE IS WORTH A CONVERSATION Scope most senior engineers never get. The platform is yours to define, not someone else's to maintain. Direct access to the people who decide, without the layers that slow good engineering down. Real AI work with real constraints, where auditability and evaluation matter as much as the model. The stability of a long-established, cash-generative business, with the pace and the blank page of an early-stage one. THE PROCESS Morela is supporting this search and managing the process end to end. If the brief resonates, get in touch for a confidential conversation before you commit to anything; the client is named only once you are happy to be represented. Appointment will be subject to appropriate references, background checks and a confidentiality agreement. We welcome applicants from different backgrounds whose skills and evidence meet the requirements, and reasonable adjustments are available throughout the process. For immediate consideration email (url removed)
About Wintermute Wintermute is one of the largest crypto native algorithmic trading companies in digital assets. We provide liquidity algorithmically across cryptocurrency exchanges and trading platforms, a broad range of OTC trading products as well as support high profile blockchain projects and traditional financial institutions moving into crypto. We actively participate in the development of the blockchain ecosystem through investments, partnerships, and incubation of projects. Working at Wintermute We are looking for an experienced Product Manager to lead the development of our NODE platform, enabling seamless crypto trading experiences for institutional clients. This is a hands on, cross functional role that will have direct impact. You will work closely with engineers, designers, core developers, and stakeholders across the business to define, build, and ship a secure, scalable, and high performance trading platform. What you will work on Define and own the technical architecture for Wintermute's trading products, client facing portals, and internal applications - making the key technology and design decisions that determine how these systems are built and scaled. Lead and mentor a team of engineers across the full stack, setting standards for code quality, review processes, and engineering best practices. Drive technical strategy and roadmap alongside product leadership, translating business requirements into robust, scalable technical solutions. Architect systems that handle high data volumes, real time streaming, and low latency interactions - the kind of challenges you'd find on a trading platform processing millions of events per second. Oversee frontend experience across the full customer lifecycle, from onboarding portals to real time trading dashboards. Work cross functionally with product, marketing, trading, and backend engineering teams to ensure alignment and delivery. Establish and evolve engineering processes - sprint planning, incident response, deployment pipelines - that let the team ship with confidence and speed. Hard skills requirements 8+ years of software engineering experience, with at least 3 years in a technical leadership role (tech lead, engineering lead, or similar). Proven track record of making architecture decisions for complex, data intensive applications - ideally in trading platforms, financial services, or other high throughput/low latency environments. Deep experience building and scaling real time, high data volume systems (e.g., trading dashboards, live data feeds, streaming analytics, order management systems). Strong command of the modern frontend stack: TypeScript, React, Node.js - and the ability to evaluate and adopt new technologies as needed. Hands on server side experience: building and maintaining backend services, APIs, and data pipelines using languages such as Node.js, Python, Go, or similar. Solid understanding of end to end system architecture: APIs, microservices, event driven architectures, WebSockets, message queues, databases, and how frontend and backend systems work together in high performance environments. Experience with infrastructure and DevOps fundamentals: CI/CD, cloud platforms, CDN, monitoring/observability, and deployment strategies. Strong understanding of security best practices (OWASP, authentication/authorization patterns, secure data handling) - especially in a financial context. Experience hiring, mentoring, and growing engineers - building a high performing team, not just managing one. Nice to have Experience at a trading firm, fintech, or any environment where milliseconds matter and data volumes are extreme. Familiarity with algorithmic trading concepts and financial market infrastructure. Experience with performance optimization at scale - profiling, caching strategies, efficient rendering of large datasets. Experience with backend technologies beyond Node.js (Python, Go, Rust, or similar) for performance critical services. Write to us if you Love making hard technical decisions and seeing them pay off at scale. Get energized by building high performance systems that handle serious data volumes. Want to shape the technical direction of a product team, not just execute on someone else's plan. Are passionate about engineering culture - code quality, mentorship, and continuous improvement. Are curious about algorithmic trading and financial markets. Are determined, ambitious yet humble, willing to lead by example. Thrive in a meritocratic environment where impact matters more than titles. Prefer ownership over process - you'd rather build the right thing than follow a playbook. Enjoy working in person with your team (not fully remote). Tip for a successful application We will arrange a UK visa sponsorship and help with relocation to London.
Aug 19, 2026
Full time
About Wintermute Wintermute is one of the largest crypto native algorithmic trading companies in digital assets. We provide liquidity algorithmically across cryptocurrency exchanges and trading platforms, a broad range of OTC trading products as well as support high profile blockchain projects and traditional financial institutions moving into crypto. We actively participate in the development of the blockchain ecosystem through investments, partnerships, and incubation of projects. Working at Wintermute We are looking for an experienced Product Manager to lead the development of our NODE platform, enabling seamless crypto trading experiences for institutional clients. This is a hands on, cross functional role that will have direct impact. You will work closely with engineers, designers, core developers, and stakeholders across the business to define, build, and ship a secure, scalable, and high performance trading platform. What you will work on Define and own the technical architecture for Wintermute's trading products, client facing portals, and internal applications - making the key technology and design decisions that determine how these systems are built and scaled. Lead and mentor a team of engineers across the full stack, setting standards for code quality, review processes, and engineering best practices. Drive technical strategy and roadmap alongside product leadership, translating business requirements into robust, scalable technical solutions. Architect systems that handle high data volumes, real time streaming, and low latency interactions - the kind of challenges you'd find on a trading platform processing millions of events per second. Oversee frontend experience across the full customer lifecycle, from onboarding portals to real time trading dashboards. Work cross functionally with product, marketing, trading, and backend engineering teams to ensure alignment and delivery. Establish and evolve engineering processes - sprint planning, incident response, deployment pipelines - that let the team ship with confidence and speed. Hard skills requirements 8+ years of software engineering experience, with at least 3 years in a technical leadership role (tech lead, engineering lead, or similar). Proven track record of making architecture decisions for complex, data intensive applications - ideally in trading platforms, financial services, or other high throughput/low latency environments. Deep experience building and scaling real time, high data volume systems (e.g., trading dashboards, live data feeds, streaming analytics, order management systems). Strong command of the modern frontend stack: TypeScript, React, Node.js - and the ability to evaluate and adopt new technologies as needed. Hands on server side experience: building and maintaining backend services, APIs, and data pipelines using languages such as Node.js, Python, Go, or similar. Solid understanding of end to end system architecture: APIs, microservices, event driven architectures, WebSockets, message queues, databases, and how frontend and backend systems work together in high performance environments. Experience with infrastructure and DevOps fundamentals: CI/CD, cloud platforms, CDN, monitoring/observability, and deployment strategies. Strong understanding of security best practices (OWASP, authentication/authorization patterns, secure data handling) - especially in a financial context. Experience hiring, mentoring, and growing engineers - building a high performing team, not just managing one. Nice to have Experience at a trading firm, fintech, or any environment where milliseconds matter and data volumes are extreme. Familiarity with algorithmic trading concepts and financial market infrastructure. Experience with performance optimization at scale - profiling, caching strategies, efficient rendering of large datasets. Experience with backend technologies beyond Node.js (Python, Go, Rust, or similar) for performance critical services. Write to us if you Love making hard technical decisions and seeing them pay off at scale. Get energized by building high performance systems that handle serious data volumes. Want to shape the technical direction of a product team, not just execute on someone else's plan. Are passionate about engineering culture - code quality, mentorship, and continuous improvement. Are curious about algorithmic trading and financial markets. Are determined, ambitious yet humble, willing to lead by example. Thrive in a meritocratic environment where impact matters more than titles. Prefer ownership over process - you'd rather build the right thing than follow a playbook. Enjoy working in person with your team (not fully remote). Tip for a successful application We will arrange a UK visa sponsorship and help with relocation to London.
What's in it for me? Competitive salary and compensation structure Generous paid time off and holiday schedule Frequent firm-wide social events and activities Excellent environment for learning and growth Further benefits, depending on location About the Role We are looking for a hands on technical leader to lead Penta's Data Science team: someone who still designs, builds and reviews real solutions while owning execution, delivery and team development. You will be accountable for turning data science capability into shipped, dependable value for our clients and advisory teams, in alignment with our product roadmap. Penta's technology makes client outcomes sharper, faster, more differentiated and harder to replace. The Data Science team's success is measured by how much it improves live client work, not by technical elegance in isolation. Our core data science focus is natural language understanding at scale, processing millions of articles daily across stakeholder sentiment, topic identification over time, competitive peer set selection, summarisation, contextualisation and other processing of unstructured content. Most use cases are creative chains of multiple steps drawn from data processing, exploratory analysis, fundamental ML, NLP, SQL, LLMs and integration into our live systems. What you'll do Lead the team Manage, coach and develop Penta's Data Science team, setting priorities, planning capacity and creating a high trust, high output delivery culture. Translate the product roadmap and advisory needs into a focused data science plan, partnering with Product, Advisory, Database, Development and DevOps teams to keep delivery aligned with client outcomes. Raise the delivery bar for execution, quality, pace, maintainability and cost discipline. Ship production data science and AI systems Design, build and review data science solutions across NLP, LLM workflows, machine learning, SQL and large scale content processing. Own technical design and architecture for data science enabled applications, ensuring solutions are maintainable, supportable, observable and easy to operate. Productionise delivery with DevOps and MLOps, automating deployment in AWS and putting evaluation, monitoring and provider routing controls in place so AI outputs remain reliable and cost effective. Scale practical AI adoption Design and implement AI workflows as skills, models and MCP tools in OpenWebUI, with cost control, provider routing and observability built in. Partner with other departments to turn AI capabilities into everyday workflows, reusable tools and knowledge layers that improve internal productivity and client delivery. Evaluate emerging AI tools, models and agentic patterns, bringing the useful ones into production quickly and responsibly. Success in this role Means the Data Science team is shipping reliable, maintainable AI and analytics capabilities into live client and advisory workflows; team members are growing; delivery is predictable; and Penta's applied AI capability is visibly improving across products and engagements. The Team Our Technology team supports Penta's ambitious delivery plans, using technology to automate solutions, optimise outcomes and support continuous integration and deployment. The six person Data Science team sits alongside Development, Engineering / DevOps & Platform Security, IT and the PMO, and works hand in hand with the Product team. The environment is collaborative, pragmatic and delivery focused. We move quickly, share ideas openly, and use regular hackathons and experiments to generate practical business value. This is the hands on leadership role for that team. Reporting to the CTO, you will lead a team working at the frontier of applied AI and data science, combining production LLM workflows, advanced prompting, agentic tooling, NLP, ML and large scale content processing. You will set its direction, raise its delivery bar, grow its people through hands on coaching, and lead from the front by actively shaping and delivering the work yourself. Our approach to AI is practical We are forward thinking and ambitious in practically applying AI across client facing work, corporate teams, technology and data science. We do not train our own foundation models; we apply, orchestrate and evaluate the best available models from major providers, engineering them into robust workflows that solve real business problems. We validate and document our methodologies through white papers and technical explainers, setting out the academic and analytical foundations behind our products, and the evidence that supports their use. This helps build trust in our tools, why they work and shows how they can be applied. We build on open source AI software, including LiteLLM and OpenWebUI, to maximise the internal value of AI and build durable institutional capability. Reliability, cost control, observability, instruction following, usability and adoption matter most. The team designs reusable workflows, skills, models and MCP tools that support Penta's move towards an AI native advisory operating system. Keeping Penta at the forefront of practical AI in PR, communications and strategic consultancy is part of the role. About You Tech skills required: applied AI, LLMs and data science Advanced Python coding for data science Power user fluency with frontier AI tools, especially Claude: expert level prompting, context engineering, agentic workflows, model selection, evaluation, and practical use of the latest AI native data science techniques Practical experience engineering production LLM workflows, including prompt / skill design, evaluation, cost control, provider routing, agentic / human in the loop orchestration, embeddings, vector search and RAG Implementation of foundational ML algorithms, classic NLP techniques and LLMs Strong SQL for analytical and production use, ideally PostgreSQL, including complex joins, CTEs and aggregation AWS: EC2, ECS, S3; DevOps and automated deployment Git version control Ideally experience with OpenWebUI, LiteLLM, MCP tools and/or Claude Code Key competencies & experience Significant hands on experience as an Applied AI / Data Science technical leader, with recent, practical experience using frontier LLMs, prompting and agentic workflows to ship production systems. Typically this will mean around 10+ years' hands on experience, with technical leadership exposure. A suitable degree, ideally in Software Engineering or a related technical field, and the technical grounding set out above will round out the profile. The successful candidate will also have: An analytical and logical mind, dynamic, positive and ready to make a difference; The ability to communicate complex technical topics clearly to senior, non technical and technical audiences; A passionate drive for code quality, results and getting work shipped, with sound judgement on build vs buy, prioritisation and balancing speed against maintainability, cost and risk. We strongly believe in developing talent and are willing to invest time to develop the people who join our team.
Aug 19, 2026
Full time
What's in it for me? Competitive salary and compensation structure Generous paid time off and holiday schedule Frequent firm-wide social events and activities Excellent environment for learning and growth Further benefits, depending on location About the Role We are looking for a hands on technical leader to lead Penta's Data Science team: someone who still designs, builds and reviews real solutions while owning execution, delivery and team development. You will be accountable for turning data science capability into shipped, dependable value for our clients and advisory teams, in alignment with our product roadmap. Penta's technology makes client outcomes sharper, faster, more differentiated and harder to replace. The Data Science team's success is measured by how much it improves live client work, not by technical elegance in isolation. Our core data science focus is natural language understanding at scale, processing millions of articles daily across stakeholder sentiment, topic identification over time, competitive peer set selection, summarisation, contextualisation and other processing of unstructured content. Most use cases are creative chains of multiple steps drawn from data processing, exploratory analysis, fundamental ML, NLP, SQL, LLMs and integration into our live systems. What you'll do Lead the team Manage, coach and develop Penta's Data Science team, setting priorities, planning capacity and creating a high trust, high output delivery culture. Translate the product roadmap and advisory needs into a focused data science plan, partnering with Product, Advisory, Database, Development and DevOps teams to keep delivery aligned with client outcomes. Raise the delivery bar for execution, quality, pace, maintainability and cost discipline. Ship production data science and AI systems Design, build and review data science solutions across NLP, LLM workflows, machine learning, SQL and large scale content processing. Own technical design and architecture for data science enabled applications, ensuring solutions are maintainable, supportable, observable and easy to operate. Productionise delivery with DevOps and MLOps, automating deployment in AWS and putting evaluation, monitoring and provider routing controls in place so AI outputs remain reliable and cost effective. Scale practical AI adoption Design and implement AI workflows as skills, models and MCP tools in OpenWebUI, with cost control, provider routing and observability built in. Partner with other departments to turn AI capabilities into everyday workflows, reusable tools and knowledge layers that improve internal productivity and client delivery. Evaluate emerging AI tools, models and agentic patterns, bringing the useful ones into production quickly and responsibly. Success in this role Means the Data Science team is shipping reliable, maintainable AI and analytics capabilities into live client and advisory workflows; team members are growing; delivery is predictable; and Penta's applied AI capability is visibly improving across products and engagements. The Team Our Technology team supports Penta's ambitious delivery plans, using technology to automate solutions, optimise outcomes and support continuous integration and deployment. The six person Data Science team sits alongside Development, Engineering / DevOps & Platform Security, IT and the PMO, and works hand in hand with the Product team. The environment is collaborative, pragmatic and delivery focused. We move quickly, share ideas openly, and use regular hackathons and experiments to generate practical business value. This is the hands on leadership role for that team. Reporting to the CTO, you will lead a team working at the frontier of applied AI and data science, combining production LLM workflows, advanced prompting, agentic tooling, NLP, ML and large scale content processing. You will set its direction, raise its delivery bar, grow its people through hands on coaching, and lead from the front by actively shaping and delivering the work yourself. Our approach to AI is practical We are forward thinking and ambitious in practically applying AI across client facing work, corporate teams, technology and data science. We do not train our own foundation models; we apply, orchestrate and evaluate the best available models from major providers, engineering them into robust workflows that solve real business problems. We validate and document our methodologies through white papers and technical explainers, setting out the academic and analytical foundations behind our products, and the evidence that supports their use. This helps build trust in our tools, why they work and shows how they can be applied. We build on open source AI software, including LiteLLM and OpenWebUI, to maximise the internal value of AI and build durable institutional capability. Reliability, cost control, observability, instruction following, usability and adoption matter most. The team designs reusable workflows, skills, models and MCP tools that support Penta's move towards an AI native advisory operating system. Keeping Penta at the forefront of practical AI in PR, communications and strategic consultancy is part of the role. About You Tech skills required: applied AI, LLMs and data science Advanced Python coding for data science Power user fluency with frontier AI tools, especially Claude: expert level prompting, context engineering, agentic workflows, model selection, evaluation, and practical use of the latest AI native data science techniques Practical experience engineering production LLM workflows, including prompt / skill design, evaluation, cost control, provider routing, agentic / human in the loop orchestration, embeddings, vector search and RAG Implementation of foundational ML algorithms, classic NLP techniques and LLMs Strong SQL for analytical and production use, ideally PostgreSQL, including complex joins, CTEs and aggregation AWS: EC2, ECS, S3; DevOps and automated deployment Git version control Ideally experience with OpenWebUI, LiteLLM, MCP tools and/or Claude Code Key competencies & experience Significant hands on experience as an Applied AI / Data Science technical leader, with recent, practical experience using frontier LLMs, prompting and agentic workflows to ship production systems. Typically this will mean around 10+ years' hands on experience, with technical leadership exposure. A suitable degree, ideally in Software Engineering or a related technical field, and the technical grounding set out above will round out the profile. The successful candidate will also have: An analytical and logical mind, dynamic, positive and ready to make a difference; The ability to communicate complex technical topics clearly to senior, non technical and technical audiences; A passionate drive for code quality, results and getting work shipped, with sound judgement on build vs buy, prioritisation and balancing speed against maintainability, cost and risk. We strongly believe in developing talent and are willing to invest time to develop the people who join our team.
Solus Accident Repair Centres
Birchanger, Hertfordshire
Overview Solus, part of the Aviva family, is growing our Technology capability and we're looking for a talented Performance and Monitoring Engineer to help us strengthen the stability, reliability and performance of our systems. If you're passionate about monitoring, observability and using data to proactively improve service health, this is a great opportunity to make a real impact across a large, modern technology estate. Responsibilities You'll be our subject matter expert for monitoring and performance, responsible for designing, implementing and maintaining the tools and dashboards that give us real-time visibility of our infrastructure, applications and cloud services. Your focus will include: Owning and optimising platforms such as LogicMonitor, Azure Monitor, App Insights and Log Analytics Building meaningful dashboards, alerts, telemetry pipelines and performance insights Identifying risks, trends and early indicators to prevent incidents before they happen Carrying out deep-dive investigations into performance issues and recommending improvements Working with Platform, Operations, Security and Product teams to ensure systems are reliable, available and scalable Automating responses and integrations to improve speed, accuracy and consistency Supporting major changes, deployments and post-incident reviews with data-driven evidence Qualifications Strong experience with monitoring and observability tools (LogicMonitor, Azure Monitor, App Insights, Log Analytics, Defender for Cloud) Excellent understanding of cloud performance, IaaS/PaaS, networking fundamentals, API performance and capacity modelling Skilled in dashboards, log queries (KQL), custom metrics and performance analysis Ability to diagnose complex issues across infrastructure, networks, applications or databases Confident scripting and automation skills (PowerShell, Azure Automation, Graph API) Clear communicator who can simplify technical detail for both technical and non-technical teams Desirable qualifications Microsoft certifications (AZ-900, AZ-104, AZ-305, AZ-500) or similar Experience with LogicMonitor admin, Grafana or other observability tools Familiarity with SRE concepts (SLIs, SLOs, error budgets) Understanding of ITIL processes Who are Solus? Solus, who are owned by Aviva, are one of the UK leaders in vehicle repairs, returning cars to the road in just 11 days on average and a 4.6/5 star customer rating. With an award-winning apprenticeship programme and winners of other recognised industry awards Solus are proud to be shaping the future of vehicle repair. Why Join Solus? We have so much to offer when it comes to being a Solus colleague: Competitive salary based on location, skills, experience, and qualifications. Bonus opportunity tied to your performance and the overall success of Solus. Company pension scheme with employer contributions. 33 days' holiday (including bank holidays), with the option to buy or sell up to 5 days. Save money with up to 40% discount on Aviva products and other retailer discounts. Share in Aviva's success through the Aviva Save As You Earn scheme. Supportive policies including parental and carer's leave. Wellbeing focus with tools like Group Income Protection and 24/7 GP access. At Solus, we value inclusivity and welcome all applicants. If you're excited but don't tick every box, we encourage you to apply-your unique skills might be just what we need. We guarantee an interview for disabled applicants meeting the minimum criteria-just email us after applying to let us know. Ready to join us? Apply online today, and our team will be in touch within 14 days.
Jul 31, 2026
Full time
Overview Solus, part of the Aviva family, is growing our Technology capability and we're looking for a talented Performance and Monitoring Engineer to help us strengthen the stability, reliability and performance of our systems. If you're passionate about monitoring, observability and using data to proactively improve service health, this is a great opportunity to make a real impact across a large, modern technology estate. Responsibilities You'll be our subject matter expert for monitoring and performance, responsible for designing, implementing and maintaining the tools and dashboards that give us real-time visibility of our infrastructure, applications and cloud services. Your focus will include: Owning and optimising platforms such as LogicMonitor, Azure Monitor, App Insights and Log Analytics Building meaningful dashboards, alerts, telemetry pipelines and performance insights Identifying risks, trends and early indicators to prevent incidents before they happen Carrying out deep-dive investigations into performance issues and recommending improvements Working with Platform, Operations, Security and Product teams to ensure systems are reliable, available and scalable Automating responses and integrations to improve speed, accuracy and consistency Supporting major changes, deployments and post-incident reviews with data-driven evidence Qualifications Strong experience with monitoring and observability tools (LogicMonitor, Azure Monitor, App Insights, Log Analytics, Defender for Cloud) Excellent understanding of cloud performance, IaaS/PaaS, networking fundamentals, API performance and capacity modelling Skilled in dashboards, log queries (KQL), custom metrics and performance analysis Ability to diagnose complex issues across infrastructure, networks, applications or databases Confident scripting and automation skills (PowerShell, Azure Automation, Graph API) Clear communicator who can simplify technical detail for both technical and non-technical teams Desirable qualifications Microsoft certifications (AZ-900, AZ-104, AZ-305, AZ-500) or similar Experience with LogicMonitor admin, Grafana or other observability tools Familiarity with SRE concepts (SLIs, SLOs, error budgets) Understanding of ITIL processes Who are Solus? Solus, who are owned by Aviva, are one of the UK leaders in vehicle repairs, returning cars to the road in just 11 days on average and a 4.6/5 star customer rating. With an award-winning apprenticeship programme and winners of other recognised industry awards Solus are proud to be shaping the future of vehicle repair. Why Join Solus? We have so much to offer when it comes to being a Solus colleague: Competitive salary based on location, skills, experience, and qualifications. Bonus opportunity tied to your performance and the overall success of Solus. Company pension scheme with employer contributions. 33 days' holiday (including bank holidays), with the option to buy or sell up to 5 days. Save money with up to 40% discount on Aviva products and other retailer discounts. Share in Aviva's success through the Aviva Save As You Earn scheme. Supportive policies including parental and carer's leave. Wellbeing focus with tools like Group Income Protection and 24/7 GP access. At Solus, we value inclusivity and welcome all applicants. If you're excited but don't tick every box, we encourage you to apply-your unique skills might be just what we need. We guarantee an interview for disabled applicants meeting the minimum criteria-just email us after applying to let us know. Ready to join us? Apply online today, and our team will be in touch within 14 days.
Solus Accident Repair Centres
Birchanger, Hertfordshire
Overview Solus, part of the Aviva family, is growing our Technology capability and we're looking for a talented Performance and Monitoring Engineer to help us strengthen the stability, reliability and performance of our systems. If you're passionate about monitoring, observability and using data to proactively improve service health, this is a great opportunity to make a real impact across a large, modern technology estate. Responsibilities You'll be our subject matter expert for monitoring and performance, responsible for designing, implementing and maintaining the tools and dashboards that give us real-time visibility of our infrastructure, applications and cloud services. Your focus will include: Owning and optimising platforms such as LogicMonitor, Azure Monitor, App Insights and Log Analytics Building meaningful dashboards, alerts, telemetry pipelines and performance insights Identifying risks, trends and early indicators to prevent incidents before they happen Carrying out deep-dive investigations into performance issues and recommending improvements Working with Platform, Operations, Security and Product teams to ensure systems are reliable, available and scalable Automating responses and integrations to improve speed, accuracy and consistency Supporting major changes, deployments and post-incident reviews with data-driven evidence Qualifications Strong experience with monitoring and observability tools (LogicMonitor, Azure Monitor, App Insights, Log Analytics, Defender for Cloud) Excellent understanding of cloud performance, IaaS/PaaS, networking fundamentals, API performance and capacity modelling Skilled in dashboards, log queries (KQL), custom metrics and performance analysis Ability to diagnose complex issues across infrastructure, networks, applications or databases Confident scripting and automation skills (PowerShell, Azure Automation, Graph API) Clear communicator who can simplify technical detail for both technical and non-technical teams Desirable qualifications Microsoft certifications (AZ-900, AZ-104, AZ-305, AZ-500) or similar Experience with LogicMonitor admin, Grafana or other observability tools Familiarity with SRE concepts (SLIs, SLOs, error budgets) Understanding of ITIL processes Who are Solus? Solus, who are owned by Aviva, are one of the UK leaders in vehicle repairs, returning cars to the road in just 11 days on average and a 4.6/5 star customer rating. With an award-winning apprenticeship programme and winners of other recognised industry awards Solus are proud to be shaping the future of vehicle repair. Why Join Solus? We have so much to offer when it comes to being a Solus colleague: Competitive salary based on location, skills, experience, and qualifications. Bonus opportunity tied to your performance and the overall success of Solus. Company pension scheme with employer contributions. 33 days' holiday (including bank holidays), with the option to buy or sell up to 5 days. Save money with up to 40% discount on Aviva products and other retailer discounts. Share in Aviva's success through the Aviva Save As You Earn scheme. Supportive policies including parental and carer's leave. Wellbeing focus with tools like Group Income Protection and 24/7 GP access. At Solus, we value inclusivity and welcome all applicants. If you're excited but don't tick every box, we encourage you to apply-your unique skills might be just what we need. We guarantee an interview for disabled applicants meeting the minimum criteria-just email us after applying to let us know. Ready to join us? Apply online today, and our team will be in touch within 14 days.
May 31, 2026
Full time
Overview Solus, part of the Aviva family, is growing our Technology capability and we're looking for a talented Performance and Monitoring Engineer to help us strengthen the stability, reliability and performance of our systems. If you're passionate about monitoring, observability and using data to proactively improve service health, this is a great opportunity to make a real impact across a large, modern technology estate. Responsibilities You'll be our subject matter expert for monitoring and performance, responsible for designing, implementing and maintaining the tools and dashboards that give us real-time visibility of our infrastructure, applications and cloud services. Your focus will include: Owning and optimising platforms such as LogicMonitor, Azure Monitor, App Insights and Log Analytics Building meaningful dashboards, alerts, telemetry pipelines and performance insights Identifying risks, trends and early indicators to prevent incidents before they happen Carrying out deep-dive investigations into performance issues and recommending improvements Working with Platform, Operations, Security and Product teams to ensure systems are reliable, available and scalable Automating responses and integrations to improve speed, accuracy and consistency Supporting major changes, deployments and post-incident reviews with data-driven evidence Qualifications Strong experience with monitoring and observability tools (LogicMonitor, Azure Monitor, App Insights, Log Analytics, Defender for Cloud) Excellent understanding of cloud performance, IaaS/PaaS, networking fundamentals, API performance and capacity modelling Skilled in dashboards, log queries (KQL), custom metrics and performance analysis Ability to diagnose complex issues across infrastructure, networks, applications or databases Confident scripting and automation skills (PowerShell, Azure Automation, Graph API) Clear communicator who can simplify technical detail for both technical and non-technical teams Desirable qualifications Microsoft certifications (AZ-900, AZ-104, AZ-305, AZ-500) or similar Experience with LogicMonitor admin, Grafana or other observability tools Familiarity with SRE concepts (SLIs, SLOs, error budgets) Understanding of ITIL processes Who are Solus? Solus, who are owned by Aviva, are one of the UK leaders in vehicle repairs, returning cars to the road in just 11 days on average and a 4.6/5 star customer rating. With an award-winning apprenticeship programme and winners of other recognised industry awards Solus are proud to be shaping the future of vehicle repair. Why Join Solus? We have so much to offer when it comes to being a Solus colleague: Competitive salary based on location, skills, experience, and qualifications. Bonus opportunity tied to your performance and the overall success of Solus. Company pension scheme with employer contributions. 33 days' holiday (including bank holidays), with the option to buy or sell up to 5 days. Save money with up to 40% discount on Aviva products and other retailer discounts. Share in Aviva's success through the Aviva Save As You Earn scheme. Supportive policies including parental and carer's leave. Wellbeing focus with tools like Group Income Protection and 24/7 GP access. At Solus, we value inclusivity and welcome all applicants. If you're excited but don't tick every box, we encourage you to apply-your unique skills might be just what we need. We guarantee an interview for disabled applicants meeting the minimum criteria-just email us after applying to let us know. Ready to join us? Apply online today, and our team will be in touch within 14 days.
Job Title: Data Engineer Location: London Working Pattern: Hybrid (3-4 days / week in office) Salary: £55,000 - £70,000 (+ Strong Benefits Package) Overview We are seeking a highly skilled and proactive Data Engineer to join a growing technology team within a fast-paced insurance environment. This role will focus on designing, building, and optimising scalable data infrastructure and automation solutions that support operational workflows, reporting, and business-critical analytics. The position offers the opportunity to work across modern cloud-based data platforms, workflow automation, and emerging AI-assisted technologies, with exposure to projects involving intelligent document processing, operational automation, and practical applications of LLM tooling within the business. This is an excellent opportunity for someone who enjoys combining strong Data Engineering fundamentals with modern automation technologies in a highly collaborative environment. Key Responsibilities Data Engineering & Architecture Design, develop, and maintain scalable and reliable data pipelines using Python and SQL. Build and optimise modern data architectures, including data lakes and warehouses. Support the ongoing migration and modernisation of legacy/on-premise data infrastructure into Azure cloud services. Develop robust ETL/ELT pipelines and API integrations across multiple internal and external data sources. Automation & Intelligent Workflows Support automation initiatives aimed at improving operational efficiency and reducing manual processing tasks. Contribute to AI-assisted and intelligent workflow projects involving structured and unstructured data processing. Work with modern automation tooling and explore practical applications of LLM technologies within operational processes. Collaborate with stakeholders to identify opportunities for process optimisation through automation and data-driven solutions. Data Quality, Reporting & Governance Implement automated validation, monitoring, and data quality controls across datasets and pipelines. Ensure solutions align with governance, security, and GDPR/DPA requirements. Optimise database performance and query efficiency to support reporting and analytics. Develop and maintain reporting and dashboarding solutions using Power BI. Stakeholder Collaboration Work closely with business stakeholders to gather requirements and translate them into scalable technical solutions. Present technical findings and recommendations clearly to both technical and non-technical audiences. Act as a key bridge between operational teams and technology functions. Required Skills & Experience Technical Skills Strong experience with Python and SQL for Data Engineering and automation. Experience building and maintaining scalable ETL/ELT pipelines. Strong understanding of relational and non-relational databases. Experience with Azure data technologies such as Data Factory, Synapse, or Fabric. Familiarity with orchestration and transformation tooling such as Dagster and dbt. Experience working with APIs and workflow automation tooling. Exposure to AI-assisted technologies, automation tooling, or LLM concepts would be advantageous. Experience with Power BI and reporting solutions. Familiarity with Docker/Kubernetes and CI/CD practices is beneficial. Industry Experience Experience working within insurance or financial services environments is highly desirable. Experience handling complex operational or transactional datasets would be advantageous. Soft Skills Strong analytical and problem-solving abilities. Excellent communication and stakeholder management skills. Collaborative and proactive mindset. Interest in modern automation technologies and emerging tooling. Package & Benefits Annual bonus Strong pension contribution Private healthcare Hybrid working model (3-4 days per week in the London office) Exposure to modern cloud, automation, and AI-driven projects Collaborative and growing technology environment Opportunity to influence greenfield technical initiatives and modernisation projects Oscar Associates (UK) Limited is acting as an Employment Agency in relation to this vacancy. To understand more about what we do with your data please review our privacy policy in the privacy section of the Oscar website.
May 25, 2026
Full time
Job Title: Data Engineer Location: London Working Pattern: Hybrid (3-4 days / week in office) Salary: £55,000 - £70,000 (+ Strong Benefits Package) Overview We are seeking a highly skilled and proactive Data Engineer to join a growing technology team within a fast-paced insurance environment. This role will focus on designing, building, and optimising scalable data infrastructure and automation solutions that support operational workflows, reporting, and business-critical analytics. The position offers the opportunity to work across modern cloud-based data platforms, workflow automation, and emerging AI-assisted technologies, with exposure to projects involving intelligent document processing, operational automation, and practical applications of LLM tooling within the business. This is an excellent opportunity for someone who enjoys combining strong Data Engineering fundamentals with modern automation technologies in a highly collaborative environment. Key Responsibilities Data Engineering & Architecture Design, develop, and maintain scalable and reliable data pipelines using Python and SQL. Build and optimise modern data architectures, including data lakes and warehouses. Support the ongoing migration and modernisation of legacy/on-premise data infrastructure into Azure cloud services. Develop robust ETL/ELT pipelines and API integrations across multiple internal and external data sources. Automation & Intelligent Workflows Support automation initiatives aimed at improving operational efficiency and reducing manual processing tasks. Contribute to AI-assisted and intelligent workflow projects involving structured and unstructured data processing. Work with modern automation tooling and explore practical applications of LLM technologies within operational processes. Collaborate with stakeholders to identify opportunities for process optimisation through automation and data-driven solutions. Data Quality, Reporting & Governance Implement automated validation, monitoring, and data quality controls across datasets and pipelines. Ensure solutions align with governance, security, and GDPR/DPA requirements. Optimise database performance and query efficiency to support reporting and analytics. Develop and maintain reporting and dashboarding solutions using Power BI. Stakeholder Collaboration Work closely with business stakeholders to gather requirements and translate them into scalable technical solutions. Present technical findings and recommendations clearly to both technical and non-technical audiences. Act as a key bridge between operational teams and technology functions. Required Skills & Experience Technical Skills Strong experience with Python and SQL for Data Engineering and automation. Experience building and maintaining scalable ETL/ELT pipelines. Strong understanding of relational and non-relational databases. Experience with Azure data technologies such as Data Factory, Synapse, or Fabric. Familiarity with orchestration and transformation tooling such as Dagster and dbt. Experience working with APIs and workflow automation tooling. Exposure to AI-assisted technologies, automation tooling, or LLM concepts would be advantageous. Experience with Power BI and reporting solutions. Familiarity with Docker/Kubernetes and CI/CD practices is beneficial. Industry Experience Experience working within insurance or financial services environments is highly desirable. Experience handling complex operational or transactional datasets would be advantageous. Soft Skills Strong analytical and problem-solving abilities. Excellent communication and stakeholder management skills. Collaborative and proactive mindset. Interest in modern automation technologies and emerging tooling. Package & Benefits Annual bonus Strong pension contribution Private healthcare Hybrid working model (3-4 days per week in the London office) Exposure to modern cloud, automation, and AI-driven projects Collaborative and growing technology environment Opportunity to influence greenfield technical initiatives and modernisation projects Oscar Associates (UK) Limited is acting as an Employment Agency in relation to this vacancy. To understand more about what we do with your data please review our privacy policy in the privacy section of the Oscar website.
Founding AI Engineer Location : London (Hybrid / Flexible) Salary : Competitive DOE + Bonus + Equity Company Overview We are working with an early-stage technology company building AI-native systems that help large organisations better understand, govern, and secure complex data and identity ecosystems. Operating at the intersection of AI, cyber security, and enterprise data platforms , the business is focused on transforming how organisations model access, risk, and data relationships across increasingly distributed cloud environments. The team is small, highly technical, and product-focused, with a strong bias toward ownership, rapid iteration, and building systems that operate in complex, real-world enterprise environments. Engineering sits at the centre of everything, and individuals are expected to have a direct impact on product direction and architecture. The Role We are seeking a Founding AI Engineer / Engineering Lead to join the business at a pivotal stage as the platform moves from early MVP into scalable production use with enterprise customers. This is a hands-on technical leadership role , not a product management position. You will be responsible for designing, building, and scaling core components of an AI-driven enterprise platform, working across data, machine learning, and distributed systems. You will also work directly with early customers to understand real-world use cases and translate them into robust, scalable product capabilities. This role suits someone who still enjoys building and shipping code, but is comfortable influencing architecture, mentoring engineers, and shaping technical direction. You will have significant influence over: Core system architecture AI/ML strategy and implementation Data modelling and enterprise integration patterns Early product design decisions Engineering standards and scalability approach Key Responsibilities Design and build core components of an AI-native enterprise platform from the ground up Develop and deploy machine learning and LLM-based systems in production environments Build scalable data and AI pipelines across complex enterprise datasets Work closely with early enterprise customers to refine requirements and shape product direction Define and implement system architecture for AI, data, and integration layers Build agentic AI workflows and knowledge-driven systems using modern LLM frameworks Implement robust MLOps pipelines for model training, deployment, monitoring, and governance Contribute directly to production code in Python and related AI/data tooling Support technical decision-making around cloud architecture, scalability, and system design Help establish engineering best practices in a fast-moving early-stage environment Tech Stack Python TensorFlow / PyTorch LLM frameworks (LangChain, LangGraph, or similar agentic AI tooling) AWS / Azure cloud platforms (including AI services such as Bedrock) Data engineering tools (e.g. AWS Glue or equivalent) NLP, embeddings, vector databases, RAG architectures MLOps tooling for model deployment and monitoring Experience with distributed data systems and APIs Required Skills & Experience Several years' experience in software engineering, data engineering, or AI engineering roles Strong academic background in Computer Science, Engineering, Mathematics, or similar Experience working in a product-led technology environment (SaaS, AI platform, or similar) Proven ability to ship production-grade AI or data systems Strong Python engineering capability Experience with modern ML / LLM systems and frameworks Exposure to cloud-based AI/ML platforms (AWS, Azure, or GCP) Comfortable working in early-stage environments with ambiguity and ownership Strong communication skills and ability to work directly with technical and non-technical stakeholders Bonus Experience (Highly Valued) Cyber security / identity / access management (IAM / IdAM) exposure Cloud operations, DevSecOps, or infrastructure-heavy environments Experience in regulated or enterprise-scale domains Knowledge of enterprise data governance, data modelling, or integration architecture How You Work Highly hands-on and enjoys building systems end-to-end Comfortable operating in ambiguity and shaping problems as well as solving them Strong bias toward delivery, iteration, and practical engineering outcomes Collaborative, but able to take full ownership of technical decisions Interested in building foundational systems, not just features What We Offer Highly competitive base salary (DOE) + bonus Equity / stock options in a high-growth early-stage business Private medical insurance Hybrid working (London-based, flexible model) High ownership role with significant influence on product and architecture Oscar Associates (UK) Limited is acting as an Employment Agency in relation to this vacancy. To understand more about what we do with your data please review our privacy policy in the privacy section of the Oscar website.
May 22, 2026
Full time
Founding AI Engineer Location : London (Hybrid / Flexible) Salary : Competitive DOE + Bonus + Equity Company Overview We are working with an early-stage technology company building AI-native systems that help large organisations better understand, govern, and secure complex data and identity ecosystems. Operating at the intersection of AI, cyber security, and enterprise data platforms , the business is focused on transforming how organisations model access, risk, and data relationships across increasingly distributed cloud environments. The team is small, highly technical, and product-focused, with a strong bias toward ownership, rapid iteration, and building systems that operate in complex, real-world enterprise environments. Engineering sits at the centre of everything, and individuals are expected to have a direct impact on product direction and architecture. The Role We are seeking a Founding AI Engineer / Engineering Lead to join the business at a pivotal stage as the platform moves from early MVP into scalable production use with enterprise customers. This is a hands-on technical leadership role , not a product management position. You will be responsible for designing, building, and scaling core components of an AI-driven enterprise platform, working across data, machine learning, and distributed systems. You will also work directly with early customers to understand real-world use cases and translate them into robust, scalable product capabilities. This role suits someone who still enjoys building and shipping code, but is comfortable influencing architecture, mentoring engineers, and shaping technical direction. You will have significant influence over: Core system architecture AI/ML strategy and implementation Data modelling and enterprise integration patterns Early product design decisions Engineering standards and scalability approach Key Responsibilities Design and build core components of an AI-native enterprise platform from the ground up Develop and deploy machine learning and LLM-based systems in production environments Build scalable data and AI pipelines across complex enterprise datasets Work closely with early enterprise customers to refine requirements and shape product direction Define and implement system architecture for AI, data, and integration layers Build agentic AI workflows and knowledge-driven systems using modern LLM frameworks Implement robust MLOps pipelines for model training, deployment, monitoring, and governance Contribute directly to production code in Python and related AI/data tooling Support technical decision-making around cloud architecture, scalability, and system design Help establish engineering best practices in a fast-moving early-stage environment Tech Stack Python TensorFlow / PyTorch LLM frameworks (LangChain, LangGraph, or similar agentic AI tooling) AWS / Azure cloud platforms (including AI services such as Bedrock) Data engineering tools (e.g. AWS Glue or equivalent) NLP, embeddings, vector databases, RAG architectures MLOps tooling for model deployment and monitoring Experience with distributed data systems and APIs Required Skills & Experience Several years' experience in software engineering, data engineering, or AI engineering roles Strong academic background in Computer Science, Engineering, Mathematics, or similar Experience working in a product-led technology environment (SaaS, AI platform, or similar) Proven ability to ship production-grade AI or data systems Strong Python engineering capability Experience with modern ML / LLM systems and frameworks Exposure to cloud-based AI/ML platforms (AWS, Azure, or GCP) Comfortable working in early-stage environments with ambiguity and ownership Strong communication skills and ability to work directly with technical and non-technical stakeholders Bonus Experience (Highly Valued) Cyber security / identity / access management (IAM / IdAM) exposure Cloud operations, DevSecOps, or infrastructure-heavy environments Experience in regulated or enterprise-scale domains Knowledge of enterprise data governance, data modelling, or integration architecture How You Work Highly hands-on and enjoys building systems end-to-end Comfortable operating in ambiguity and shaping problems as well as solving them Strong bias toward delivery, iteration, and practical engineering outcomes Collaborative, but able to take full ownership of technical decisions Interested in building foundational systems, not just features What We Offer Highly competitive base salary (DOE) + bonus Equity / stock options in a high-growth early-stage business Private medical insurance Hybrid working (London-based, flexible model) High ownership role with significant influence on product and architecture Oscar Associates (UK) Limited is acting as an Employment Agency in relation to this vacancy. To understand more about what we do with your data please review our privacy policy in the privacy section of the Oscar website.
Senior Imperva DAM / Linux Security Engineer 6 Month Contract We are looking for a hands on Security Engineer to support and enhance a large scale Imperva Data Activity Monitoring platform within a complex enterprise environment. You will take ownership of a Linux based security estate, ensuring platform stability, security compliance and continuous improvement. Key Responsibilities Support and administer Imperva DAM platform Manage database agents and infrastructure Deliver patching, upgrades and platform improvements Monitor system health and carry out maintenance Investigate incidents and perform root cause analysis Support integrations with Active Directory, SIEM, Syslog and monitoring tools Automate processes to improve efficiency Required Experience Strong Imperva DAM or similar experience Strong Linux administration skills Scripting experience, Bash, Perl or similar Experience supporting enterprise security platforms Strong troubleshooting capability Contract Details 6 month contract Hybrid, mainly remote with occasional onsite Competitive day rate Rates depend on experience and client requirements
May 20, 2026
Contractor
Senior Imperva DAM / Linux Security Engineer 6 Month Contract We are looking for a hands on Security Engineer to support and enhance a large scale Imperva Data Activity Monitoring platform within a complex enterprise environment. You will take ownership of a Linux based security estate, ensuring platform stability, security compliance and continuous improvement. Key Responsibilities Support and administer Imperva DAM platform Manage database agents and infrastructure Deliver patching, upgrades and platform improvements Monitor system health and carry out maintenance Investigate incidents and perform root cause analysis Support integrations with Active Directory, SIEM, Syslog and monitoring tools Automate processes to improve efficiency Required Experience Strong Imperva DAM or similar experience Strong Linux administration skills Scripting experience, Bash, Perl or similar Experience supporting enterprise security platforms Strong troubleshooting capability Contract Details 6 month contract Hybrid, mainly remote with occasional onsite Competitive day rate Rates depend on experience and client requirements
Description A senior engineering leader who is responsible for the technical health, delivery performance, and professional development of their team. The Tech Lead is the primary engineering owner for one or more teams - setting technical direction, building culture, and bridging the gap between engineering and the broader organisation. Tech Leads are expected to actively drive AI-native culture within their team and model best practice for everyone they manage. The step from Technical Project Lead to Tech Lead is the most significant transition in the engineering career path. The TPL role is delivery-focused; the Tech Lead role adds sustained people leadership, team design, and function-level accountability. You are no longer primarily measured by what you build or what your project delivers - you are measured by the health and capability of your team over time. This means investing in people who may not yet be performing, having difficult conversations, and sometimes slowing down delivery to get the team architecture right. It is a fundamentally different role, and the instincts that made you a great TPL will need to evolve. Hands-on contribution remains significant. Approximately 60% of time is spent on direct technical work - coding, design, review, and architectural decision-making - and 40% on line management, stakeholder communication, hiring, and engineering strategy. This reflects Ignite's current scale and the importance of Tech Lead technical credibility. Responsibilities Own the technical health of one or more delivery teams: architecture, standards, quality, and culture Line manage up to 6 engineers directly or up to 10 indirectly, including regular 1:1s, objective setting, development support, and performance management Make or delegate architectural decisions with confidence, maintaining long-term codebase coherence Balance hands-on technical contribution with management and leadership responsibilities Drive quality and delivery standards across the team, setting clear expectations and holding them consistently Contribute to sprint planning and prioritisation alongside the Programme Manager and Analysts Lead incident response for the team, ensuring post-mortems produce systemic improvements and address root causes Represent engineering in stakeholder conversations, communicating clearly on delivery status, technical risk, and capacity Partner with the Head of Engineering on resourcing, team design, and delivery strategy Contribute to hiring by defining role requirements, leading technical interviews, and making recommendations Support the development of Senior Engineers towards greater leadership capability Operate with commercial awareness, understanding the revenue and margin implications of technical decisions Contribute to cross-function engineering strategy and platform-wide architectural decisions Develop or contribute to the Ignite repeatability and AI-native agenda Contribute to hiring strategy and team design conversations with the Head of Engineering Carry full line management responsibility for direct reports, including probation management and formal performance processes Support pay review and promotion recommendations to the Head of Engineering Manage indirect accountability for QA leads and their reports within the Ignite structure AI Leadership Responsibilities Actively use and champion coding harnesses, building team-level harnesses that standardize AI usage for common tasks Understand AI agents at an implementation level, including design, risks, and appropriate usage Understand and work with skills as reusable AI capabilities Have a strong working knowledge of MCP (Model Context Protocol), including tool access, context management, and security implications Set expectations for AI tool use within the team, defining what is encouraged, what requires review, and where human verification is required Stay current with the AI tooling landscape and share relevant developments with the Head of Engineering Qualifications Languages: TypeScript and C#/.NET (sufficient depth to review and guide work in both stacks) Frontend: Vue.js (Customer Portal stack - review and governance level) Databases: SQL Server, PostgreSQL (design, performance, governance) Cloud & Infrastructure: Azure (architecture, cost management, security posture) Container Orchestration: Kubernetes (operational and governance level) CI/CD: GitHub Actions, GitOps (ownership and governance) Security: ISO 27001 controls implementation and penetration test coordination Tooling: Linear, Git/GitHub, Copilot, monitoring and alerting platforms
May 14, 2026
Full time
Description A senior engineering leader who is responsible for the technical health, delivery performance, and professional development of their team. The Tech Lead is the primary engineering owner for one or more teams - setting technical direction, building culture, and bridging the gap between engineering and the broader organisation. Tech Leads are expected to actively drive AI-native culture within their team and model best practice for everyone they manage. The step from Technical Project Lead to Tech Lead is the most significant transition in the engineering career path. The TPL role is delivery-focused; the Tech Lead role adds sustained people leadership, team design, and function-level accountability. You are no longer primarily measured by what you build or what your project delivers - you are measured by the health and capability of your team over time. This means investing in people who may not yet be performing, having difficult conversations, and sometimes slowing down delivery to get the team architecture right. It is a fundamentally different role, and the instincts that made you a great TPL will need to evolve. Hands-on contribution remains significant. Approximately 60% of time is spent on direct technical work - coding, design, review, and architectural decision-making - and 40% on line management, stakeholder communication, hiring, and engineering strategy. This reflects Ignite's current scale and the importance of Tech Lead technical credibility. Responsibilities Own the technical health of one or more delivery teams: architecture, standards, quality, and culture Line manage up to 6 engineers directly or up to 10 indirectly, including regular 1:1s, objective setting, development support, and performance management Make or delegate architectural decisions with confidence, maintaining long-term codebase coherence Balance hands-on technical contribution with management and leadership responsibilities Drive quality and delivery standards across the team, setting clear expectations and holding them consistently Contribute to sprint planning and prioritisation alongside the Programme Manager and Analysts Lead incident response for the team, ensuring post-mortems produce systemic improvements and address root causes Represent engineering in stakeholder conversations, communicating clearly on delivery status, technical risk, and capacity Partner with the Head of Engineering on resourcing, team design, and delivery strategy Contribute to hiring by defining role requirements, leading technical interviews, and making recommendations Support the development of Senior Engineers towards greater leadership capability Operate with commercial awareness, understanding the revenue and margin implications of technical decisions Contribute to cross-function engineering strategy and platform-wide architectural decisions Develop or contribute to the Ignite repeatability and AI-native agenda Contribute to hiring strategy and team design conversations with the Head of Engineering Carry full line management responsibility for direct reports, including probation management and formal performance processes Support pay review and promotion recommendations to the Head of Engineering Manage indirect accountability for QA leads and their reports within the Ignite structure AI Leadership Responsibilities Actively use and champion coding harnesses, building team-level harnesses that standardize AI usage for common tasks Understand AI agents at an implementation level, including design, risks, and appropriate usage Understand and work with skills as reusable AI capabilities Have a strong working knowledge of MCP (Model Context Protocol), including tool access, context management, and security implications Set expectations for AI tool use within the team, defining what is encouraged, what requires review, and where human verification is required Stay current with the AI tooling landscape and share relevant developments with the Head of Engineering Qualifications Languages: TypeScript and C#/.NET (sufficient depth to review and guide work in both stacks) Frontend: Vue.js (Customer Portal stack - review and governance level) Databases: SQL Server, PostgreSQL (design, performance, governance) Cloud & Infrastructure: Azure (architecture, cost management, security posture) Container Orchestration: Kubernetes (operational and governance level) CI/CD: GitHub Actions, GitOps (ownership and governance) Security: ISO 27001 controls implementation and penetration test coordination Tooling: Linear, Git/GitHub, Copilot, monitoring and alerting platforms
Solus Accident Repair Centres
Birchanger, Hertfordshire
Overview Solus, part of the Aviva family, is growing our Technology capability and we're looking for a talented Performance and Monitoring Engineer to help us strengthen the stability, reliability and performance of our systems. If you're passionate about monitoring, observability and using data to proactively improve service health, this is a great opportunity to make a real impact across a large, modern technology estate. Responsibilities You'll be our subject matter expert for monitoring and performance, responsible for designing, implementing and maintaining the tools and dashboards that give us real-time visibility of our infrastructure, applications and cloud services. Your focus will include: Owning and optimising platforms such as LogicMonitor, Azure Monitor, App Insights and Log Analytics Building meaningful dashboards, alerts, telemetry pipelines and performance insights Identifying risks, trends and early indicators to prevent incidents before they happen Carrying out deep-dive investigations into performance issues and recommending improvements Working with Platform, Operations, Security and Product teams to ensure systems are reliable, available and scalable Automating responses and integrations to improve speed, accuracy and consistency Supporting major changes, deployments and post-incident reviews with data-driven evidence Qualifications Strong experience with monitoring and observability tools (LogicMonitor, Azure Monitor, App Insights, Log Analytics, Defender for Cloud) Excellent understanding of cloud performance, IaaS/PaaS, networking fundamentals, API performance and capacity modelling Skilled in dashboards, log queries (KQL), custom metrics and performance analysis Ability to diagnose complex issues across infrastructure, networks, applications or databases Confident scripting and automation skills (PowerShell, Azure Automation, Graph API) Clear communicator who can simplify technical detail for both technical and non-technical teams Desirable qualifications Microsoft certifications (AZ-900, AZ-104, AZ-305, AZ-500) or similar Experience with LogicMonitor admin, Grafana or other observability tools Familiarity with SRE concepts (SLIs, SLOs, error budgets) Understanding of ITIL processes Who are Solus? Solus, who are owned by Aviva, are one of the UK leaders in vehicle repairs, returning cars to the road in just 11 days on average and a 4.6/5 star customer rating. With an award-winning apprenticeship programme and winners of other recognised industry awards Solus are proud to be shaping the future of vehicle repair. Why Join Solus? We have so much to offer when it comes to being a Solus colleague: Competitive salary based on location, skills, experience, and qualifications. Bonus opportunity tied to your performance and the overall success of Solus. Company pension scheme with employer contributions. 33 days' holiday (including bank holidays), with the option to buy or sell up to 5 days. Save money with up to 40% discount on Aviva products and other retailer discounts. Share in Aviva's success through the Aviva Save As You Earn scheme. Supportive policies including parental and carer's leave. Wellbeing focus with tools like Group Income Protection and 24/7 GP access. At Solus, we value inclusivity and welcome all applicants. If you're excited but don't tick every box, we encourage you to apply-your unique skills might be just what we need. We guarantee an interview for disabled applicants meeting the minimum criteria-just email us after applying to let us know. Ready to join us? Apply online today, and our team will be in touch within 14 days.
May 03, 2026
Full time
Overview Solus, part of the Aviva family, is growing our Technology capability and we're looking for a talented Performance and Monitoring Engineer to help us strengthen the stability, reliability and performance of our systems. If you're passionate about monitoring, observability and using data to proactively improve service health, this is a great opportunity to make a real impact across a large, modern technology estate. Responsibilities You'll be our subject matter expert for monitoring and performance, responsible for designing, implementing and maintaining the tools and dashboards that give us real-time visibility of our infrastructure, applications and cloud services. Your focus will include: Owning and optimising platforms such as LogicMonitor, Azure Monitor, App Insights and Log Analytics Building meaningful dashboards, alerts, telemetry pipelines and performance insights Identifying risks, trends and early indicators to prevent incidents before they happen Carrying out deep-dive investigations into performance issues and recommending improvements Working with Platform, Operations, Security and Product teams to ensure systems are reliable, available and scalable Automating responses and integrations to improve speed, accuracy and consistency Supporting major changes, deployments and post-incident reviews with data-driven evidence Qualifications Strong experience with monitoring and observability tools (LogicMonitor, Azure Monitor, App Insights, Log Analytics, Defender for Cloud) Excellent understanding of cloud performance, IaaS/PaaS, networking fundamentals, API performance and capacity modelling Skilled in dashboards, log queries (KQL), custom metrics and performance analysis Ability to diagnose complex issues across infrastructure, networks, applications or databases Confident scripting and automation skills (PowerShell, Azure Automation, Graph API) Clear communicator who can simplify technical detail for both technical and non-technical teams Desirable qualifications Microsoft certifications (AZ-900, AZ-104, AZ-305, AZ-500) or similar Experience with LogicMonitor admin, Grafana or other observability tools Familiarity with SRE concepts (SLIs, SLOs, error budgets) Understanding of ITIL processes Who are Solus? Solus, who are owned by Aviva, are one of the UK leaders in vehicle repairs, returning cars to the road in just 11 days on average and a 4.6/5 star customer rating. With an award-winning apprenticeship programme and winners of other recognised industry awards Solus are proud to be shaping the future of vehicle repair. Why Join Solus? We have so much to offer when it comes to being a Solus colleague: Competitive salary based on location, skills, experience, and qualifications. Bonus opportunity tied to your performance and the overall success of Solus. Company pension scheme with employer contributions. 33 days' holiday (including bank holidays), with the option to buy or sell up to 5 days. Save money with up to 40% discount on Aviva products and other retailer discounts. Share in Aviva's success through the Aviva Save As You Earn scheme. Supportive policies including parental and carer's leave. Wellbeing focus with tools like Group Income Protection and 24/7 GP access. At Solus, we value inclusivity and welcome all applicants. If you're excited but don't tick every box, we encourage you to apply-your unique skills might be just what we need. We guarantee an interview for disabled applicants meeting the minimum criteria-just email us after applying to let us know. Ready to join us? Apply online today, and our team will be in touch within 14 days.
