Drive the adoption and operationalisation of AI tooling across the SDLC
Design and implement AI-assisted workflows that reduce manual effort at each stage from ideation through to production
Establish best practices, standards and guardrails for AI-assisted development across squads
Own the performance and reliability of CI/CD pipelines built on GitHub Actions
Reduce build times, eliminate flaky tests and improve deployment confidence across teams
Implement and maintain infrastructure-as-code practices using Terraform
Systematically identify and eliminate developer friction across the engineering organisation
Improve local development environments, onboarding experience and day-to-day tooling
Reduce manual process burden through automation of repetitive tasks
shifting developers toward verification and orchestration rather than manual implementation
Drive standardisation across repositories, pipelines and teams to reduce cognitive load, context-switching cost and per-team maintenance overhead
Use DORA and DX metrics to identify high-impact improvement opportunities, measure outcomes and demonstrate progress in deployment frequency and lead time
Lead complex, cross-cutting improvement initiatives from investigation through to adoption
Coordinate with squad leads and engineers to roll out operational changes with minimal disruption
Communicate progress, trade-offs and outcomes clearly to both technical and non-technical stakeholders

Practical experience in DevOps, Platform Engineering, SRE or similar with strong hands-on capability
Deep experience with CI/CD pipeline design and optimisation, particularly GitHub Actions
Practical experience integrating SaaS platforms (e.g Datadog, LaunchDarkly, Databricks, Jira, JSM, getDX)
Practical Terraform and infrastructure-as-code skills in AWS environments
Practical experience with AI-assisted development tools and workflows (Claude Code, Copilot or equivalent)
Excellent communication and influencing skills
able to build consensus across squads without authority
Data-driven mindset
uses metrics to inform priorities, justify decisions and demonstrate impact
Comfortable working across a polyglot environment (PHP, Node, Go, Python)
Experience with containerised workloads (ECS/EKS) and cloud-native architectures
Systems-thinking approach to identifying and resolving developer experience problems at scale

Developer Experience Engineer – AI-DLC

Key skills