Top DevOps Engineer Jobs in London

Lead ownership of CI/CD and SDLC infrastructure, automating mobile release pipelines, improving end-to-end test automation, optimizing pipeline performance, and enhancing developer experience while ensuring security and compliance for a consumer fintech product.

Maintain and improve cloud infrastructure across multiple countries, manage Kubernetes and CI/CD, optimize performance and costs, handle monitoring and security audits, lead deployments, and mentor junior team members.

The Senior DevOps Engineer will enhance the Arbor platform's resilience and performance, improve CI/CD pipelines, and foster team collaboration while ensuring systems documentation and incident response.

Design, manage, and optimise Abtrace's AWS infrastructure, including VPC/networking, serverless APIs, ETL/ELT data pipelines, CI/CD via GitHub Actions, observability with Datadog, and security/configuration using IAM, SSM, and Secrets Manager.

Lead design, deployment, and operation of scalable Kubernetes and cloud infrastructure. Own infrastructure-as-code, automation, and self-service tooling. Drive incident response, platform reliability, and cross-team collaboration while mentoring engineers and partnering on multi-org platform standards.

Lead DevOps pipeline design and implementation, advise clients on DevOps best practices, establish DevOps functions, and engage stakeholders to ensure seamless delivery across projects.

Design, develop, and maintain web applications, Python middleware, and automation for BEAR research computing. Deploy and operate services on Linux/BEAR Cloud, improve CI/CD and testing, integrate systems (e.g., GitLab, ServiceNow), support users, participate in triage/housekeeping rotas, and collaborate on technical design and engineering practices to improve reliability and scalability.

Own and operate an on-prem Kubernetes platform for trading systems: cluster lifecycle, observability (metrics/logs/traces), GitOps CI/CD, infra automation, and onboarding/support for trading desks.

Lead design and implementation of CI/CD pipelines, infrastructure automation (Ansible/Terraform), and containerised platforms (Docker/Kubernetes/EKS/AKS) on AWS. Monitor and optimize systems (DataDog), ensure security/compliance, troubleshoot environments, mentor engineers, and drive POCs for AI-assisted automation integrated into CI/CD, code validation, and incident resolution.

Own and operate cloud infrastructure (primarily AWS) using Infrastructure as Code. Maintain and improve Terraform estates, manage Kubernetes and ArgoCD production workloads, keep CI/CD pipelines reliable, automate with Python/Bash, monitor performance, troubleshoot incidents, and collaborate with teams to deliver secure, scalable public-sector services.

As a Senior DevOps Engineer, you will design and operate scalable infrastructure, maintain CI/CD pipelines, optimize container environments, and collaborate with teams to deliver technical solutions.

Design, build, and operate scalable, secure cloud infrastructure and CI/CD pipelines. Manage Kubernetes environments, implement IaC (Terraform), improve observability, troubleshoot production issues, support security/compliance, and mentor junior engineers to optimize platform reliability and cost.

Senior DevOps engineer responsible for designing, implementing and optimizing cloud deployments and CI/CD pipelines, containerisation (Docker), and Kubernetes orchestration on Azure (or AWS). Automate infrastructure provisioning with Terraform, integrate security best practices, collaborate with engineering and QA, support production environments, participate in on-call rota and occasional weekend release activities, and contribute to scalable, resilient platform design for a blockchain-based financial markets project.

As a Senior DevOps Engineer, you'll design and implement AWS infrastructure, ensure system reliability and security, manage CI/CD pipelines, and lead incident resolutions.

The Senior DevOps Engineer will manage AWS infrastructure, optimize services, improve CI/CD pipelines, and enhance system observability while ensuring compliance with necessary standards.

The Staff DevOps Engineer will enhance and manage infrastructure for AI inference, focusing on speed, resilience, and automation across GPU fleets and production systems.