Top DevOps Jobs in London

Lead the development and implementation of secure cloud environments for National Security and Defence clients by leveraging commercial and open-source technologies.

The DevOps Engineer will maintain and optimize trading systems, collaborate on platform improvements, support production, and ensure compliance in trading operations.

The DevOps Engineer will support a cloud-based infrastructure, ensuring reliability and automation, while participating in a paid on-call rota.

As a Technical Lead, you will guide development teams, handle project delivery, resolve issues, and ensure best practices are followed in DevOps and agile methodologies, working closely with clients.

The Salesforce DevOps Evangelist will create engaging content about Salesforce DevOps, speak at events, mentor users, and build community presence.

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

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.

The Junior DevOps Engineer will automate and manage cloud infrastructure using Azure, collaborate with teams for CI/CD deployment, and optimize system performance.

As a Senior DevOps Engineer, you will improve cloud infrastructure, CI/CD systems, and production reliability, collaborating closely with engineering teams.

As a Senior DevOps Engineer at Ping Identity, you will manage customer environments, fulfill service requests, onboard new clients, and collaborate with development teams while ensuring security and performance of services.

As a Senior DevOps Engineer, you'll enhance CI/CD pipelines, improve developer workflows, ensure security and observability on a serverless AWS platform, and mentor engineers.

As a Senior DevOps Engineer, you'll optimize infrastructure using AWS CDK and Terraform, enhance CI/CD pipelines, and support the UPL product team to deliver software securely and efficiently.

As a DevOps Engineer, you will build and maintain AWS cloud environments, automate CI/CD pipelines, manage Kubernetes clusters, and integrate new technologies for operational excellence.

As a Senior DevOps Engineer, you will develop and scale IaC using Terraform, build CI/CD in Azure DevOps, manage Kubernetes, and drive automation, security, and observability practices while contributing to the engineering culture.

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.

Lead strategic direction for international DevOps: design CI/CD and automation, manage cloud infrastructure (AWS/EKS/RDS), run PoCs, author design docs, mentor engineers, liaise with AWS and cross-unit leads, maintain central developer services, ensure security and compliance, and support incident response to keep services reliable.

The DevOps Engineer will build and manage CI/CD pipelines, maintain environments, implement testing frameworks, and collaborate with teams on deployment workflows.

The DevOps Engineer designs and manages AWS cloud infrastructure, automates operations, develops CI/CD pipelines, and ensures robust monitoring and observability.

The Senior DevOps Engineer will design and maintain cloud infrastructure, manage CI/CD pipelines, and automate processes using IaC tools. Responsibilities include optimizing system performance, ensuring security best practices, and collaborating with clients and development teams to improve workflows.

As a Senior DevOps Engineer, you'll build and manage cloud infrastructure, optimize CI/CD pipelines, collaborate with teams on compliance, 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.

The role involves creating testnets, maintaining production infrastructure, and monitoring systems to aid developers in decentralized network projects, emphasizing security and innovation.