Top DevOps Jobs in London

Design, implement, and scale cloud identity and authentication solutions on GCP. Build infrastructure with Terraform and backend services in Go. Integrate identity protocols, enforce security best practices, perform code reviews, troubleshoot incidents, and document designs while collaborating with product, security, and engineering teams.

Design and deliver production-grade React and TypeScript portals and dashboards backed by Snowflake pipelines. Integrate front-end with backend inference APIs and analytics, ensure high-throughput performance, availability, security, and role-based access. Own front-end DevOps, contribute component libraries and collaborate with ML and backend engineers to surface model insights.

Deliver cloud security consulting, design multi/hybrid-cloud security blueprints, implement Fortinet-based cloud solutions, produce automation/architecture code and POCs, publish reference architectures and technical content, run demos/webinars, and advise customers on secure cloud deployments.

Provide pre-sales public cloud and application security expertise to sales and partners across EMEA: lead technical discussions, demos/POVs, respond to RFPs, build sales technical materials, consolidate customer feedback for Product Management, and support commercial strategy and seminars.

Own full enterprise sales cycle for a developer-focused application security platform. Engage CISOs and engineering leaders, manage complex multi-stakeholder deals, translate technical value into business outcomes, build internal champions, and consistently exceed revenue targets through disciplined pipeline and forecasting.

Lead product delivery for large-scale AEM and cloud website projects. Define product strategy, document requirements, prioritise backlogs, drive QA/automation and DevOps enablement, and collaborate with Risk, Legal, InfoSec, SRE and stakeholders to ensure reliable, compliant, high-performing digital platforms.

The Technical Lead will enhance developer experiences, streamline workflows, and modernize tooling, focusing on DevOps and CI/CD implementation across cloud platforms.

Design and deliver Dynamics 365 and Power Platform solutions to improve customer journeys. Build secure, scalable Azure-based applications, integrate systems and migrate data, implement DevOps release pipelines, apply testing and automation, and collaborate with stakeholders in healthcare contexts.

Build scalable cloud-based full-stack features for a carbon intelligence AI platform. Design APIs, services, and accessibility-first UIs; implement CI/CD, testing, monitoring, and event-driven refactors. Own reliability (telemetry, SLOs, on-call), collaborate with product and design, and deliver secure, high-quality software across front-end and back-end.

Develop, test, and deliver features for Webex real-time media microservices. Participate in DevOps, on-call rotations, automated testing, debugging, and cross-team collaboration. Use AI tools, learn new technologies, and receive mentoring and formal training.

Lead full lifecycle development for real-time media microservices: design, implement, test, deploy, monitor, and operate features. Provide technical leadership for backlog, architecture, DevOps, on-call operations, mentoring, and quality improvement while applying networking, virtualization, and AI tooling to solve complex audio/video problems.

Lead and manage the implementation of TPM and RGM systems, ensuring alignment with strategic goals. Foster collaboration and continuous improvement within the technology value stream.

The Senior Research Engineer will develop and deliver scalable ML solutions, collaborate with teams, and apply innovative technologies in AI to impact professionals in legal and accounting fields.

The Solutions Engineer partners with the sales team to provide technical expertise, designs customized solutions, collaborates with product and engineering, and helps drive sales success in B2B SaaS.

Responsible for deploying the Uncountable Web Platform in customer environments, coordinating with IT teams, and enhancing internal DevOps infrastructure.

Seeking DV cleared professionals for projects in Central Government, including software engineering, development, and DevOps roles.

As a Software Developer, support operational processing systems across various asset classes, ensuring data integrity and compliance while developing applications for post-trade operations.

The Director of Technology Alliances is responsible for managing strategic partnerships, overseeing integration roadmaps, and driving revenue growth through alliances with technology providers.

Lead and grow a regional Customer Success team to drive adoption, renewals, expansions, and customer outcomes; partner with Sales, report on metrics, mitigate customer risk, recruit and develop staff, and support pre-sales.

Lead a Reliability and Operations engineering team to decommission and migrate the existing platform, improve developer experience, observability and deployment capabilities, and support developer career growth. Shape migration strategy, prioritise delivery versus maintenance, collaborate across Product and Engineering, drive reliability improvements, mentor and recruit engineers, and guide safe adoption of AI tools for development.

Design, develop, and deliver scalable, secure software for port and terminal operations. Collaborate with stakeholders, apply DevOps/CI/CD and containerization, maintain high code quality, troubleshoot live systems, conduct code reviews, and mentor team members while recommending technical improvements.

Perform hands-on technical assessments of home-built platforms and codebases, evaluating code quality, architecture, DevOps/CI-CD, observability, resilience, scalability and technical debt. Produce clear, board-level findings, recommendations (keep/fix/buy/rebuild), evidence packs, heatmaps and roadmaps, and identify key-person risks and fragile integrations.

Senior Azure AI Engineer working in an agile AI squad to design, develop and deploy Azure-based AI solutions — including assistants, copilots, retrieval/RAG systems, cloud-native applications, integrations, security/governance, testing and optimisation — collaborating with analysts, architects and delivery teams to deliver business outcomes.

Lead technical direction and delivery of large-scale AI/ML platforms. Architect microservices and shared libraries, align ML, data science and DevOps, coach distributed engineers, define production readiness, and drive hiring and standards across software engineering.

Work with traders and analysts to build scalable Python services and APIs, develop supply/demand models, market data analysis, real-time analytics, visualizations, and workflow automation for the front-office platform.