Lead the evaluation and integration of developer tools, especially AI-assisted development tooling.
Support team adoption by sharing knowledge, running demos, tracking utilisation and demonstrating value.
Experiment with emerging developer tooling and evaluate their real-world impact on engineering productivity.
Develop and maintain "golden path" templates and scaffolding to accelerate project bootstrapping and promote consistent engineering practices.
Improve and standardise the local development experience across all engineering teams (environment setup, local services, test data, etc.) to reduce onboarding and iteration time.
Work with the rest of the Platform Engineering department to securely abstract Infrastructure and Cloud tasks away from software engineers.
Support teams by assessing and recommending improvements to CI/CD pipelines and SDLC processes.
Reduce build and test feedback loops by improving CI pipeline performance and reliability.
Define and track developer productivity metrics (e.g. build times, CI performance, deployment frequency) to identify systemic friction and measure improvement.
Help software teams to curate high-quality pipelines and tests, ensuring high release confidence.
Build and maintain internal developer tools (CLIs, automations, shared libraries, etc.) that simplify common engineering workflows.
Conduct regular user research and feedback sessions with engineering teams to identify friction points and propose improvements.
Improve the structure and discoverability of engineering documentation, reducing time-to-first-MR and improving engineering onboarding.
Requirements
4+ years of experience in Software Engineering, DevEx, and/or Platform Engineering roles.
Strong proficiency in at least one modern systems or scripting language (Ideally Go).
Demonstrated experience integrating generative AI-powered tooling into software workflows.
Understanding of the limitations, failure modes, and security risks associated with LLMs (hallucinations, prompt injection, context window limits, etc).
Deep understanding of the modern SDLC, including Git flow, CI/CD (especially GitLab CI), and containerisation technologies (Docker, Kubernetes).
Exceptional empathy for the developer experience; a product mindset where the "customer" is the internal software engineer.
An understanding of the developer mindset, to ensure keen adoption of new tools and practices.
Strong written communication skills, with the ability to write documentation that is easily parsable by both humans and LLMs.
Ability to navigate ambiguity and define standards in a rapidly evolving technology landscape.
An awareness of cost implications in a cloud environment, and methods of optimising services for maximum ROI.
Bonus points if you have:
Agentic workflows: Experience building or coordinating autonomous agents that can perform multi-step engineering tasks.
Dev portal expertise: Experience with Backstage.io or other developer portals.
Tech Stack
Cloud
Docker
Kubernetes
SDLC
Go
Benefits
Hybrid and flexible working options
33 days holiday per annum (incl. public holidays)
Salary sacrifice pension with matched employer contributions up to 5% + NI savings
Private health cover, including access to a private GP service
Spot reward bonus scheme to reward truly outstanding contributions
Comprehensive wellness and support provisions
Enhanced family leave provisions
Two days paid Volunteering Leave per year
Free meals, drinks and snacks provided daily in the offices
Regular social events such as board game nights, big summer party and annual kick-off
Inclusive culture and environment, where you’ll feel genuinely valued and respected;