Top DevOps Engineer Jobs in London

Lead DevOps Engineer on an agile team supporting low-latency electronic trading, data analytics and quant environments. Provide technical leadership, develop and review production code, manage CI/CD and release activities, automate tooling, monitor capacity, and deliver third-level production support while advocating firmwide engineering practices.

Lead technical strategy and architecture across engineering squads, integrating AI-assisted delivery, MLOps, automation, and modern cloud infrastructure. Mentor engineers, promote psychologically safe collaboration, guide security and compliance practices, facilitate client workshops, manage technical scope, and improve delivery through engineering metrics such as DORA. The role also evaluates emerging technologies, supports go-to-market initiatives, and represents the consultancy externally.

Lead the design, delivery, and operation of secure AWS cloud infrastructure, infrastructure-as-code, CI/CD pipelines, containerized workloads, and DevSecOps practices. Own Terraform-based automation, monitoring, observability, troubleshooting, and technical decisions across client engagements. Collaborate with architects, security specialists, and clients while establishing engineering standards, mentoring engineers, and improving reliability and delivery efficiency.

Build, maintain, and improve CI/CD pipelines and build infrastructure across development, testing, and release workflows. Optimize build performance, reliability, scalability, caching, dependency management, and reproducibility. Develop automation and developer tooling, operate CI infrastructure, troubleshoot pipeline failures, and improve CI/CD security and engineering workflows. Partner closely with software engineering teams to enhance developer experience and software delivery.

Designs and maintains Salesforce CI/CD pipelines, automates deployments, manages metadata and configuration across environments, and coordinates release management. The role provides environment support, troubleshoots deployment issues, administers Git repositories and branching strategies, supports governance and change management, documents procedures, and reports deployment metrics. It also promotes DevOps best practices, continuous improvement, automated testing, and reliable Salesforce platform delivery across technical and business teams.

Manage and evolve AWS and secure on-premises environments, providing L3 production support and 24/7 on-call coverage. Build and maintain Kubernetes, Kafka, database, identity, caching, CI/CD, and observability platforms. Automate infrastructure and pipelines, improve testing and service resilience, manage incidents and changes through ServiceNow, address technical debt, and support secure data replication and critical national infrastructure deployments.

Build, deliver, and operate AI-focused DevOps environments across hybrid infrastructure, Azure, and AWS. Develop RAG and data pipelines, MLOps workflows, AI agents, GPU workloads, infrastructure automation, and containerized platforms. Support live, business-critical systems while improving scalability, reliability, observability, and standardization. Collaborate across teams, modernize infrastructure, and implement emerging AI and cloud technologies.

Deliver and operate DevOps environments across hybrid on-premise and multi-cloud infrastructure spanning Azure and AWS. Build automation and standardization using Terraform, Terragrunt, Ansible, and Python; support containerized platforms and critical live systems. Contribute to technology modernization, CI/CD, observability, testing, resilience, and AI infrastructure. Collaborate through peer reviews and pull requests while independently delivering project and business-as-usual objectives in a fast-moving trading environment.

Supports and maintains AWS and secure on-premise environments, including L3 production support, 24/7 on-call rotations, infrastructure automation, CI/CD pipelines, observability, databases, identity services, Kafka, incident management, and secure data replication. Works under senior guidance while contributing to deployments, change governance, technical debt reduction, testing, and continual service improvement.

Own and evolve AWS and secure on-premise platforms, leading L3 production support, on-call incident response, infrastructure maintenance, automation, observability, CI/CD, security compliance, and service improvement. Build and manage Kafka, databases, identity, caching, replication, and secure data-flow services. Drive technical debt reduction and governance, support deployments and change management, align platforms with product roadmaps, and mentor junior and mid-level engineers.

Own and optimise Salesforce CI/CD pipelines using Copado, automate metadata and code deployments, manage environments (data masking/seeding), integrate automated testing and quality gates, monitor and troubleshoot releases, and mentor teams to improve DevOps practices.

The Principal DevOps Engineer will lead cloud infrastructure development, ensure compliance and security, implement CI/CD, and collaborate across teams to optimize performance.

Own and evolve EMEIA infrastructure across VM-based and managed container environments. Design and build a Kubernetes-based platform, migrate existing workloads, manage networking, access controls, certificates, cloud infrastructure, RHEL systems, and infrastructure-as-code. Establish deployment and observability practices, troubleshoot incidents, maintain reliability and documentation, and support rapidly developed AI-assisted applications. Collaborate with developers, data teams, analysts, vendors, and global stakeholders.

Lead integration and DevOps work for a low-latency equities onboarding team: participate in requirements, design, development, production rollouts, integration testing, release management, and automation using Linux, Python, shell scripting, networking and FPGA technologies to ensure stable, high-quality deliveries.

Manage and evolve AWS and secure on-premise platforms, provide L3 production support and 24/7 on-call coverage, maintain CI/CD pipelines, and build infrastructure across Kafka, databases, identity, caching, and replication services. Improve automation, observability, testing, security compliance, and service resilience while supporting deployments and ITIL-aligned incident, problem, and change management in secure government environments.

Responsible for deploying, operating, and ensuring reliability of a centralized AI-SDLC platform. Build/manage infrastructure, CI/CD pipelines, observability, security/compliance controls, and provide operational/on-call support to meet enterprise SLAs while optimizing cost and scalability.

Design, develop, and maintain scalable automation frameworks and tooling to provision and manage cloud and hybrid infrastructure. Build Python-based IaC generation with Jinja2 and Terraform, maintain Puppet modules for Linux/Windows, develop PowerShell automation for Windows/AD, integrate automation with CI/CD, implement testing for infrastructure code, and partner with platform teams to drive operational excellence and documentation.

The DevOps Engineer will focus on designing and improving CI/CD platforms, lead technical solutions, mentor engineers, and work in agile teams.

Build and operate the company’s platform infrastructure, including Kubernetes, infrastructure as code, CI/CD, identity, secrets, networking, observability, and developer tooling. Responsibilities include operating production services, supporting agent infrastructure, improving alerting, participating in incident response, and creating self-service capabilities. The role requires strong Kubernetes and cloud experience, Terraform, Helm, GitOps, Python, AI coding-agent expertise, sound engineering judgment, written communication, and comfort with ambiguity.

As a DevOps Engineer, you'll enhance systems delivered in AWS, automate and monitor infrastructure, and collaborate closely with software teams to ensure operational efficiency.

Maintain and extend highly available, distributed infrastructure supporting InfluxData’s time series platform. Design, implement, and operate large-scale multi-cloud Kubernetes environments using GitOps, Terraform, and cloud-native technologies. Participate in troubleshooting, incident response, pager rotation, automation, CI/CD improvements, and cross-team collaboration while serving as an infrastructure and Kubernetes subject matter expert.

Owns deployment, operations, reliability, and productionization of a centralized enterprise AI-SDLC platform. Responsibilities include infrastructure management, CI/CD automation, monitoring, observability, incident response, security and governance controls, multi-tenant scalability, cost management, and operational support. The role uses cloud, containers, infrastructure as code, scripting, and reliability engineering practices, with preferred experience in LLMOps, MLOps, model hosting, API gateways, and AI platform management.

Design, deploy, operate, and continuously improve Kubernetes-based AI infrastructure. Responsibilities include managing Linux systems, bare-metal servers, data-centre infrastructure, NVIDIA GPU workloads, infrastructure automation, security access, platform governance, troubleshooting, documentation, customer and vendor collaboration, and on-call operational support.

The Principal Cloud DevOps Engineer will enhance infrastructure for ID verification solutions, automate deployments, manage teams, and collaborate with security teams.

Build and maintain internal infrastructure and tools to improve product availability and engineering productivity. Implement infrastructure with Terraform, define scaling, alerting and monitoring, support CI/CD, troubleshoot live incidents, and validate work with manual and automated tests.