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Senior DevOps Engineer - AI Enablement

Hybrid in London·Added today (last checked 7 Nov)

Our summary

Salary
£63,343 - £70,725 a year

About £3,940 - £4,300 a month after tax.

Work mode
Hybrid, London
Experience
Senior level
Closing date
Apply by Thursday 19 November
Holiday
25 days holiday
Pension
28.97% employer pension

Skills

Requirements

What we're looking for

  • A systematic approach to solving complex technical problems, including the ability to work effectively where the problem, technology or preferred solution is not yet well defined.
  • Experience leading technical work within a mixed-skill team and the ability to operate with significant autonomy.
  • A strong practical understanding of large language models and the engineering considerations involved in integrating them into software systems.
  • An understanding of model APIs, model families and providers, including the practical differences involved in consuming models through services such as Amazon Bedrock, Azure AI Foundry/Azure OpenAI and the OpenAI API.
  • An understanding of AI gateways and the role they can play within an enterprise, including areas such as model routing, authentication and authorisation, policy enforcement, observability, usage management and abstraction across providers. Experience with technologies such as LiteLLM would be beneficial.
  • An understanding of AI agents and tool-using systems, including emerging approaches and standards such as the Model Context Protocol (MCP).
  • An understanding of the security considerations associated with AI-enabled systems, including prompt injection, guardrails, tool permissions, credentials, data access, sandboxing and isolation of agent execution.
  • An understanding of approaches to observing and evaluating AI systems, including areas such as tracing, telemetry, model evaluation, quality measurement, latency and cost. Experience with platforms such as Langfuse or equivalent technologies would be beneficial.
  • An understanding of developer AI tooling, such as GitHub Copilot and other AI-assisted software development tools, and the ability to communicate technical concepts, engage stakeholders and influence the adoption of these technologies across a large organisation.
  • The ability and motivation to remain current with a rapidly developing technical field, critically evaluate new models, tools and techniques, and determine where they can provide genuine engineering value.

We do not expect candidates to have previously worked with every technology or product listed above. Relevant experience may come from professional work, substantial independent learning, open-source contribution, experimentation or the development of personal projects.

What matters is that you can demonstrate a strong engineering foundation, meaningful technical engagement with modern AI systems, and the ability to turn new and emerging technology into robust solutions that other engineers can depend on.

You should be comfortable working in areas where established patterns may not yet exist, investigating unfamiliar technologies independently, challenging assumptions and helping establish the engineering practices that others will subsequently adopt.

Willingness to be assessed against the requirements for SC clearance.

Pay & benefits

What you'll get

£58,511 - £70,725

The national salary range is £58,511 - £65,329, London salary range is £63,343 - £70,725 Your salary will be dependent on your base location

A Civil Service Pension with an employer contribution of 28.97%

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)

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.
  • 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.

Base salary for this role is from £58,511 to £65,329 (National) or from £63,343 to £70,725 (London).

  • New entrants to the Civil Service joining the MoJ are expected to start at the minimum of the pay band.
  • Existing Civil Servants moving on a level transfer will retain their current base salary or move to the minimum of the pay band for the role, whichever is higher.
  • Existing Civil Servants who are promoted will either move to the bottom of the new grade's pay band or receive a 10% uplift, whichever provides the greater increase.
  • Candidates may also be eligible for a non‑pensionable Government Digital & Data Allowance of up to £6,207 per year (London) or £6,339 (National). This is a temporary allowance, reviewed annually and may be retained, amended, or withdrawn.

The final offer will reflect the skills and experience you demonstrate during the assessment process.

Alongside your salary of £58,511, Ministry of Justice contributes £16,950 towards you being a member of the Civil Service Defined Benefit Pension scheme. Find out what benefits a Civil Service Pension provides (opens in a new window).

  • Access to learning and development
  • A working environment that supports a range of flexible working options to enhance your work life balance
  • A working culture which encourages inclusion and diversity
  • A Civil Service pension with an employer contribution of 28.97%
  • Annual Leave
  • Public Holidays
  • Season Ticket Advance

For more information about the recruitment process, benefits and allowances and answers to general queries, please click the below link which will direct you to our Candidate Information Page.

Link: https://justicejobs.tal.net/vx/candidate/cms/About%20the%20MOJ

Visa & relocation

This job is broadly open to the following groups:

  • UK nationals
  • nationals of the Republic of Ireland
  • nationals of Commonwealth countries who have the right to work in the UK
  • nationals of the EU, Switzerland, Norway, Iceland or Liechtenstein and family members of those nationalities with settled or pre-settled status under the European Union Settlement Scheme (EUSS) (opens in a new window)
  • nationals of the EU, Switzerland, Norway, Iceland or Liechtenstein and family members of those nationalities who have made a valid application for settled or pre-settled status under the European Union Settlement Scheme (EUSS)
  • individuals with limited leave to remain or indefinite leave to remain who were eligible to apply for EUSS on or before 31 December 2020
  • Turkish nationals, and certain family members of Turkish nationals, who have accrued the right to work in the Civil Service

Further information on nationality requirements (opens in a new window)

The role

Senior DevOps Engineer - AI Enablement

Location: National*

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.

What you'll do

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.

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.

  • 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 implementations, prototypes and proofs of concept to establish new engineering approaches, taking successful ideas through to production where appropriate.
  • Help establish engineering patterns for working with large language models, including model access, tool use, agents, evaluation, observability, security and deployment.
  • Work with AI platform and gateway capabilities, understanding how model gateways operate within a large enterprise and contributing to the integration of those capabilities into developer workflows.
  • Design and implement approaches for safely executing AI agents and AI-generated workloads, considering areas such as filesystem access, network access, credentials, tool permissions, isolation, approvals and auditability.
  • Build capabilities for evaluating and observing AI systems, enabling engineers to understand model behaviour, performance, cost and reliability.
  • Help develop reusable approaches to AI security and governance, including guardrails, runtime controls and patterns that allow engineering teams to adopt AI without unnecessarily constraining innovation.
  • Work across cloud platforms and AI providers, understanding the capabilities and trade-offs of different models, providers and deployment approaches.
  • Stay abreast of developments in AI models, agentic systems, developer tooling and AI engineering, assessing where emerging capabilities could provide practical value to Ministry of Justice engineers.
  • Work using modern software and platform engineering practices, including infrastructure as code, version control, continuous delivery and automated deployment.
  • Develop and operate services across cloud platforms such as AWS, Azure and Google Cloud Platform, using appropriate programming languages and technologies for the problem being solved.
  • Work with container technologies and container orchestration as part of building, deploying and operating reliable production services.
  • Work with a high degree of autonomy, identifying opportunities and engineering problems that are worth solving rather than relying solely on predefined solutions or tightly specified work.
  • Collaborate with engineering teams across Justice Digital to understand where AI can improve software delivery and turn those needs into reusable capabilities rather than one-off solutions.
  • Share knowledge, techniques and emerging practices with the wider engineering community, helping engineers develop the skills required to use AI effectively and responsibly.
  • Help establish engineering standards and good practice for the use of AI in software development, balancing appropriate controls with the ability for teams to experiment and innovate.
  • Contribute to technical discussions and decisions across the organisation, clearly communicating complex and rapidly evolving AI engineering concepts to both technical and non-technical audiences.
  • Help build an open, inclusive and collaborative engineering culture in which experimentation, critical thinking and continuous learning are encouraged.
  • Contribute to recruitment and the professional development of engineers within the team and the wider engineering community.

How you'll work

Flexible working, Full-time, Part-time

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

*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

  • Flexible working arrangements including hybrid working, working part time or compressed hours. Designed to support a positive work-life balance.

Reference number

489707

Job grade

Grade 7

Grade 7

Grade: 7 (MoJ candidates who are on a specialist grade, will be able to retain this grade on lateral transfer)

Contract type

Permanent

Contract Type: Permanent

Type of role

Digital

Number of jobs available

2

Number of vacancies: 2

Location

East Midlands (England), East of England, London (region), North East England, North West England, Scotland, South East England, South West England, Wales, West Midlands (England), Yorkshire and the Humber

Job summary

This position is based Nationally

Job description

Vacancy number: 23859

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.

People

If this feels like an exciting opportunity, something you are enthusiastic about, and want to join our team please read on and apply!

Terms & Conditions

Please review our Terms and Conditions which set out how we recruit and provide further information related to the role and salary arrangements.

If you have any questions, please feel free to contact digitalanddatarecruitment@justice.gov.uk

Person specification

Please refer to Job Description

Apply and further information

Once this job has closed, the job advert will no longer be available. You may want to save a copy for your records.

Job contact

  • Name : SSCL Recruitment Enquiries Team
  • Email : moj-recruitment-vetting-enquiries@resourcing.soprasteria.co.uk
  • Telephone : 0345 241 5359

Further information

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Hiring process

Closing Date: 19th November

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

In Justice Digital, Data and Science, we recruit using a combination of the Government Digital and Data Profession Capability and Success Profiles Frameworks. We shall assess a combination of your Experience, Technical skills and Behaviours during the assessment process.

To apply for this position, you must submit the following as part of your application:

  • A CV detailing your career history (including any relevant qualifications). Your CV will be assessed against the essential criteria outlined within the Person Specification of this advert.
  • A Personal Statement (no more than 750 words) which should outline your experience and skills, giving clear examples of work undertaken. It should specifically address the following 2 criteria listed below, using a separate paragraph for each.
  • A systematic approach to solving complex technical problems, including the ability to work effectively where the problem, technology or preferred solution is not yet well defined.
  • A strong practical understanding of large language models and the engineering considerations involved in integrating them into software systems.

A diverse sift panel will review the information in your CV and Personal Statement to assess the sift criteria specified above. We operate an anonymous shortlisting process. Please ensure your CV and Personal Statement do not include your name or any other identifying details.

Should we receive a high volume of applications, a pre-sift based on the following criterion will be conducted before the sift:

"Experience leading technical work within a mixed-skill team and the ability to operate with significant autonomy".

Please access the following link for guidance on how to apply - Application Guidance

Successful candidates who meet the required standard will then be invited to a panel interview held via Microsoft Teams. At interview stage, you will be assessed against the following Success Profile elements - Experience, Technical and the following Behaviours:

  • Communicating and Influencing
  • Making Effective Decisions
  • Changing and Improving

As part of your interview, you will be asked to deliver a technical presentation exploring how you would approach the design and implementation of an enterprise Model Context Protocol (MCP) gateway. This will assess your technical capability, including system design, security considerations, engineering judgement and an understanding of what is required to operate production-ready services.

Further details will be provided to candidates successful at sift.

Appointments are made strictly in merit order. In the event that two or more candidates receive identical interview scores, the Technical Skills will be applied as the primary lead criterion to determine the final merit order.

Should you be unsuccessful in the role that you have applied for but demonstrate the capability for a role at a lower level, we reserve the right to discuss this opportunity with you and offer you the position without needing a further application.

A reserve list may be held for up to 12 months, from which further appointments may be made.

Feedback will only be provided if you attend an interview or assessment.

About Ministry of Justice (MoJ)

Industry
Government Administration

In their own words

About the company & team

Over the past year, we have strengthened our focus on attracting and retaining women and non-binary people in technical roles across the Ministry of Justice. We have steadily been increasing representation through targeted activity, including community forums, support and mentoring, and visible senior allyship committed to sustained improvement.

We're proud to back this up with action. Our internal Women in Digital, Data and Science Forum builds community for women and non-binary colleagues across all grades, creating space to share experiences, grow confidence, and shape practical changes. We also support cross-government work to remove barriers for women and girls entering and progressing in tech, and we offer routes in through apprenticeships and structured development.

We're proud that this work is recognised externally too: Justice Digital, Data and Science (Ministry of Justice) was named Best Employer of the Year at the Women in Tech Excellence Awards 2025.

Read more about our work and culture in the blog posts below:

Our values are Purpose, Humanity, Openness and Together. Find out more here about how we celebrate diversity and foster an inclusive culture in our workplace.

  • Email : moj-recruitment-vetting-enquiries@resourcing.soprasteria.co.uk

Additional information

Apply before 11:55 pm on Thursday 19th November 2026

We welcome the unique contribution diverse applicants bring and do not discriminate based on culture, ethnicity, race, nationality or national origin, age, sex, gender identity or expression, religion or belief, disability status, sexual orientation, educational or social background or any other factor.

Our values are Purpose, Humanity Openness and Together. Find out more here about how we celebrate diversity and an inclusive culture in our workplace.

The Civil Service is committed to attract, retain and invest in talent wherever it is found. To learn more please see the Civil Service People Plan and the Civil Service D&I Strategy.

Artificial Intelligence can be a useful tool to support your application, however, all examples and statements provided must be truthful, factually accurate and taken directly from your own experience. Where plagiarism has been identified (presenting the ideas and experiences of others, or generated by artificial intelligence, as your own) applications may be withdrawn and internal candidates may be subject to disciplinary action. Please see our candidate guidance for more information on appropriate and inappropriate use.

Artificial intelligence can be a useful tool to support your application, however, all examples and statements provided must be truthful, factually accurate and taken directly from your own experience. Where plagiarism has been identified (presenting the ideas and experiences of others, or generated by artificial intelligence, as your own) applications may be withdrawn and internal candidates may be subject to disciplinary action. Please see our candidate guidance (opens in a new window) for more information on appropriate and inappropriate use.

Successful candidates must undergo a basic (or equivalent) criminal record check.

Successful candidates must meet the security requirements before they can be appointed. The level of security needed is security check (opens in a new window).

See our vetting charter (opens in a new window).

People working with government assets must complete baseline personnel security standard (opens in new window) checks.

The Civil Service Code (opens in a new window) sets out the standards of behaviour expected of civil servants.

We recruit by merit on the basis of fair and open competition, as outlined in the Civil Service Commission's recruitment principles (opens in a new window).

The Civil Service embraces diversity and promotes equal opportunities. As such, we run a Disability Confident Scheme (DCS) for candidates with disabilities who meet the minimum selection criteria.

The Civil Service also offers a Redeployment Interview Scheme to civil servants who are at risk of redundancy, and who meet the minimum requirements for the advertised vacancy.

The Civil Service is committed to attract, retain and invest in talent wherever it is found. To learn more please see the Civil Service People Plan (opens in a new window) and the Civil Service Diversity and Inclusion Strategy (opens in a new window).

Appointment to the Civil Service is governed by the Civil Service Commission's Recruitment Principles. If you feel a department has breached the requirement of the Recruitment Principles and would like to raise this, please contact SSCL (Moj-recruitment-vetting-enquiries@gov.sscl.com) in the first instance. If the role has been advertised externally (outside of the Civil Service) and you are not satisfied with the response, you may bring your complaint to the Commission. For further information on bringing a complaint to the Civil Service Commission please visit their web pages: http://civilservicecommission.independent.gov.uk/civil-service-recruitment/complaints/

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