Senior DevOps Engineer - AI Enablement

Senior DevOps Engineer - AI Enablement

Location: National*

Closing Date: 17th November

Interviews (subject to change): w/c 30th November

Grade: 7

(MoJ candidates who are on a specialist grade, will be able to retain this grade on lateral transfer)

Salary**:

National: £58,511 - £65,329 (which may include an allowance of up to £6,339)

London: £63,343 - £70,725 (which may include an allowance of up to £6,207)

Working pattern: Full-time, Part-time, Flexible working

Contract Type: Permanent

Number of vacancies: 2

Vacancy number: 23859

*We offer a hybrid working model, allowing for a balance between remote work and time spent in your local office. Office locations can be found ON THIS MAP

Please note that unless you are an existing member of staff at Justice Digital, Data and Science, the only London location being recruited to is 10 South Colonnade, E14 4PU. We are no longer recruiting to 102 Petty France, SW1H 9AJ.

Please note this role requires you to pass Security Check clearance. Please click on the link for details.

We’re recruiting for multiple Senior DevOps Engineers here at Justice Digital, Data and Science, to be part of our warm and collaborative Hosting Platform Teams.

This role aligns against the Senior DevOps Engineer role from the Government Digital and Data Framework.

The Team: Justice Engineering AI Enablement is a new team focused on improving how engineers across the Ministry of Justice use artificial intelligence to design, build and operate digital services. Our aim is not simply to introduce new tools, but to establish the engineering capabilities, patterns and practices needed to use AI effectively, securely and at scale.

The team will build production services, developer tooling and reusable capabilities that make it easier for engineers to adopt AI without compromising the quality, security, reliability or maintainability of the services they build. Our work will cover areas such as AI-assisted software development, large language models, agents, model access, evaluation, observability, security controls and developer experience.

The work of the team has the potential to influence how hundreds of engineers across the Ministry of Justice work with AI. We will focus on creating approaches that can be reused across teams and services, rather than solving the same problems repeatedly in isolation.

About Us: At Justice Digital, Data and Science, we use technology to improve outcomes for people across the justice system. As a Senior DevOps Engineer in Justice Engineering AI Enablement, you will help shape how emerging AI technologies are applied within one of the largest engineering communities in government.

This is a rapidly developing area of technology, and many of the engineering patterns we will need are still emerging. We are looking for engineers who are genuinely engaged with this space and interested in helping establish how AI engineering should work in practice.

Responsibilities: This is a hands-on engineering role. You will design, build and operate production services and tooling that enable other engineers to make effective use of AI.

You will research and evaluate new technologies, models and engineering approaches; develop prototypes and reference implementations; and take successful ideas through to robust production capabilities. You will help establish reusable engineering patterns around areas such as AI agents, model integration, evaluation, observability, security and developer tooling.

Collaboration: You will work closely with software developers, platform engineers, architects, security specialists, product managers and other technical professions across Justice Digital.

You will also work with teams responsible for shared AI platforms and services, including AI gateway capabilities, helping ensure those products integrate effectively with engineering workflows and meet the needs of the wider development community.

A significant part of the role will involve sharing knowledge, developing reusable patterns and helping the wider engineering community build the skills and confidence required to use AI effectively and responsibly.

You’ll receive a range of excellent benefits when you join our department, including:

• A generous employer pension contribution of 28.97% through the Civil Service Pension Scheme.
• 25 days of annual leave, (increasing to 30 days once you have reached 5 years of service), plus 8 bank holidays and a privilege day for the King’s birthday.
• Flexible working arrangements including hybrid working, working part time or compressed hours. Designed to support a positive work–life balance.
• Employees are allocated 10% of their working time for personal and professional development.
• A £1k per person learning budget is in place to support all our people, with access to best-in-class conferences and seminars, accreditation with professional bodies, fully funded vocational programmes and e-learning platforms.
• Compassionate maternity, adoption, and shared parental leave policies, with up to 26 weeks leave at full pay, 13 weeks with partial pay, and 13 weeks further leave. And maternity support/paternity leave at full pay for 2 weeks, too!

You can find more details of the Benefits we offer here. To help picture your life at MoJ Justice Digital, Data and Science please take a look at our blog.

As a Senior DevOps Engineer in the Justice Engineering AI Enablement team, you will help shape how engineering teams across the Ministry of Justice use artificial intelligence to build and operate high-quality digital services.

This is a hands-on engineering role. You will design, build and operate production services, platforms and tooling that make AI capabilities secure, observable and straightforward for other engineers to adopt.

Technical:

• Design, build and operate production-grade services and tooling that enable engineers across the Ministry of Justice to make effective use of AI.
• Build developer tooling, integrations and reusable engineering patterns that reduce the friction involved in adopting AI within software delivery.
• Explore emerging AI capabilities and turn promising technologies into practical, secure and maintainable engineering solutions.
• Develop reference im