Responsible for establishing and improving the cloud engineering platform, tooling, automation and controls required for secure AI-assisted software delivery. The role will work closely with architecture and engineering teams to create a controlled, repeatable development environment using Microsoft Azure, Azure DevOps, GitHub and associated engineering tooling.
Key responsibilities
- Review existing Azure environments, repositories, CI/CD pipelines and development workflows.
- Configure and improve Azure DevOps, GitHub and related engineering platforms.
- Support implementation and administration of AI development tools such as GitHub Copilot.
- Implement repository standards, branch policies, pull request controls and automated checks.
- Establish appropriate identity, access, security and audit controls across development environments.
- Automate build, deployment, testing and documentation activities where appropriate.
- Support secure use of AI-assisted engineering capabilities within development workflows.
- Implement technical controls and guardrails around approved AI tools, code usage and developer access.
- Support migration or integration between Azure DevOps, GitHub and other engineering platforms where required.
- Document environments, automation and operational practices for ongoing use.
Skills & experience
- Strong Microsoft Azure and Azure DevOps experience.
- Good working knowledge of GitHub, CI/CD and infrastructure automation.
- Understanding of DevSecOps, identity, access management and software supply-chain security.
- Familiarity with GitHub Copilot or similar AI-assisted development tools.
- Experience supporting secure, modern cloud-based software development teams
What we offer:
- 100% remote or work from home, but you need to be in the EU as it is a near-shore opportunity
- Private healthcare insurance
- In-house English teacher available to improve your English