> Markdown version of [/jobs/ext/4573724-devops-engineer](https://www.wearedevelopers.com/jobs/ext/4573724-devops-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # DevOps Engineer - **Company:** Client Server - **Location:** London, UK (Remote available) - **Experience:** Expert - **Salary:** £80,000 - £90,000 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Microsoft Azure, DevOps, Computer Networking Systems, Agentic-AI, Deployment Automation, Terraform - **Published:** November 5, 2026 - **Apply:** https://www.client-server.com//job/senior-devops-engineer-fintech/apply ## About the Role Are you a technologist DevOps Engineer with experience of working in regulated financial environments?, * You have strong DevOps / Platform engineering experience within a regulated financial environment / FinTech * You have a strong knowledge of Networking, IaC using Terraform and Azure * You're keen to take ownership and make technical decisions * You have a modern approach to technology and are comfortable with Agentic AI tools * You're collaborative with great communication and problem solving skills ## Description As the first DevOps Engineer in the business, you'll take a senior, hands-on role shaping and supporting the Azure infrastructure, CI/CD pipelines and deployment environments behind critical web and Databricks data platforms. Collaborating with the Head of Engineering, you'll have real ownership and influence over the Azure cloud platform, driving improvements in security, scalability, reliability and deployment automation. You'll build and optimise Azure infrastructure using Terraform for IaC, develop automated YAML pipelines through Azure DevOps and support the Databricks data platform, ensuring releases are secure, repeatable and robust. You'll also play a key role in the company's move towards AI assisted and agentic software delivery, helping establish the infrastructure, automation and guardrails needed to take AI generated changes safely into production. It's an opportunity to bring specialist cloud expertise, influence engineering standards and make a tangible impact on how technology is built and delivered.