Lead DevOps Engineer
Role Overview
The department is building a modern, unified analytical tooling and data platform to give analysts secure, timely access to tools and data.
The platform is based on the Ministry of Justice's open-source Analytical Platform; user acceptance testing is complete and migration preparations are underway.
The team is adding features and using short feedback cycles to iterate on the platform.
The Lead DevOps Engineer works in the analytical tooling strand of the project.
Key Skills for This Role
Full Job Posting
Role and platform
The department is building a modern, unified analytical tooling and data platform to give analysts secure, timely access to tools and data.
The platform is based on the Ministry of Justice's open-source Analytical Platform; user acceptance testing is complete and migration preparations are underway.
The team is adding features and using short feedback cycles to iterate on the platform.
The Lead DevOps Engineer works in the analytical tooling strand of the project.
Role responsibilities
- Own and extend infrastructure and tools that enable analysts to work securely.
- Help develop and improve the analytical platform in collaboration with a small team spanning data engineering, DevOps, and software development.
- The platform includes tools such as JupyterLab, RStudio, and VS Code, GitHub integration, and cloud-based workflow orchestration.
Candidate information
- The available description excerpt does not include specific candidate qualifications.
Salary and contract
- Salary is £58,275–£71,040, with London and national pay ranges and a possible framework allowance of up to £10,000.
- The post is permanent; the working pattern lists flexible working, full-time, job share, and part-time options.
- A Civil Service Pension is offered with an employer contribution of 28.97%.
Locations
- The posting lists Bristol, London, and Salford as locations.
Department context
The Department for Science, Innovation & Technology works on science, technology, innovation, and modern digital government.
The central Data Science and Engineering team sits within the department's Analysis function and develops analytical capability.
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