Senior DevOps Engineer
Remote Devops role with clear candidate location fit.
Senior DevOps Engineer
Requirements and responsibilities
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About the role
We are looking for a Senior DevOps Engineer to lead the migration of CI/CD pipelines from TeamCity to GitLab, owning discovery, design, implementation, validation, and handover across a complex enterprise engineering environment. You will design scalable, reusable GitLab CI/CD templates, collaborate with development teams to migrate repositories and onboard services, and contribute to broader platform initiatives including Terraform IaC, Kubernetes, and Azure infrastructure automation. The role includes active use of AI tools to accelerate migration and automation workflows.
What you will do
- Lead the migration of CI/CD pipelines from TeamCity to GitLab, from discovery and design through implementation, validation, and handover;
- Assess the current TeamCity estate and design scalable, reusable GitLab CI/CD pipelines, templates, and standards;
- Work with development teams to migrate repositories, onboard services, and improve build, test, and deployment workflows;
- Support cutover, documentation, and post-migration stabilisation to ensure successful adoption;
- Use AI tools responsibly to accelerate migration, automation, documentation, and troubleshooting, with appropriate review, testing, and protection of sensitive data;
- Contribute to broader DevOps work, including infrastructure automation, deployment tooling, and platform improvements;
- Implement and maintain Infrastructure as Code, GitOps practices, and Kubernetes-based platforms;
- Collaborate with development, platform, and security teams to deliver secure, reliable, and efficient engineering workflows.
Must haves
- 5+ years of experience in DevOps, platform engineering, CI/CD engineering, or a similar role;
- Strong hands-on experience with GitLab CI/CD and proven experience migrating or modernising CI/CD pipelines, ideally from TeamCity to GitLab;
- Strong scripting and automation skills using PowerShell, Bash, or Python;
- Proven experience with Microsoft Azure;
- Good understanding of Git-based workflows, release management, and secure, maintainable CI/CD practices;
- AI-empowered mindset with proven experience optimizing enterprise-level solutions with AI-assisted engineering;
- Degree in Computer Science, Software Engineering, IT, or equivalent practical experience;
- Fluent English.
Nice to haves
- Experience with Infrastructure as Code, preferably Terraform, and GitOps tools such as Argo CD;
- Experience with Docker, Kubernetes, and cloud platforms, preferably Azure;
- Ability to support application and platform services in cloud environments, including security and access controls;
- Experience with observability tools and software development technologies.
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