Summary
✨ AI‑Generated
A DevOps-focused role supporting enterprise AI and machine learning platforms. You will improve delivery pipelines, engineering processes, and operational reliability.
Highlights
Work on enterprise AI platform delivery, improving engineering processes and enabling secure, scalable technology operations.
Description
Project Overview
We are building an enterprise-grade AI platform to enable secure, scalable and production-ready use of Generative AI and ML across the Customs Declaration Service within our client environment.
Mandatory Requirements
Strong DevOps/SDLC background — CI/CD pipeline design, branching strategy, release management, environment managementExperience assessing and improving existing engineering processes within a delivery team (not just building new pipelines from scratch)Stakeholder engagement — able to work embedded with delivery teams to understand current-state process, build trust, and land changeUnderstanding of what "AI-ready" DevOps looks like (e.g.
how process friction — slow CI, manual gates, poor branch hygiene blocks AI coding assistants and agentic workflows from adding value)Familiar with common CDS delivery toolchain (GitLab, JIRA, Confluence) or equivalent enterprise DevOps tooling
Role Overview
The DevOps/Process Change role works directly with CDS delivery teams to understand their existing DevOps processes, identify process debt, and address it so those teams can get genuine value from AI-assisted delivery not applying AI on top of broken process and expecting it to compensate.
Key Responsibilities
Embed with individual CDS delivery teams to assess current DevOps practice CI/CD, branching, release cadence, testing gates, review processIdentify process debt that limits the value of AI coding/delivery tools (e.g.
slow feedback loops, manual approval bottlenecks, inconsistent environment management)Work with teams to remediate process debt in a practical, incremental way not a big-bang process overhaulAdvise teams on how to structure process so AI-assisted development (code assistants, agentic workflows) can be adopted safely and effectivelyFeed findings back to the platform team on recurring cross-team process patterns worth solving once, platform-wide, rather than team-by-teamTrack and report on process improvement outcomes per team (e.g.
cycle time, review turnaround) to evidence the debt-paydown case
Nice to Have
Experience with AI-assisted development tooling (Copilot-style code assistants, agentic PR workflows) and what they need from surrounding process to work wellChange management / process consulting backgroundExposure to regulated/government delivery environments
Vetting: 5 years’ residence in the UK required.
BPSS vetting required.
Eligibility for SC Clearance preferred but not critical
