What you’ll be doing
As a Platform Engineer you'll work across the whole of Technology (Frontend, Backend, Data Engineering, Data Science and Warehouse Tech) helping other engineers ship better, faster, and more safely. You'll split your time roughly equally between embedded engagements inside domain squads and central platform work on the shared infrastructure.
The role of an engineer is changing. AI has removed writing code as the scarce skill; the valuable engineer is the one who picks the right problems, scopes them, and owns them through to how they behave in production. This role leans into that shift. You will work with a high degree of independence and the work isn't always handed to you as ready-made tickets, so you'll have space to identify, shape and deliver on solutions end-to-end.
Responsibilities
- Embedded Engagements: Partner with domain squads, shipping code and tools to directly enhance their capability and solve real problems.
- Paved Roads: Build shared, adoption-driven infrastructure like feature flags, canary rollouts, fast builds, and CI/CD patterns. Making the easiest path the best path.
- AI Integration: Extend AI across the engineering lifecycle (ticket generation, config authoring, incident response, code review), operating with AI as your core working mode and creating reusable patterns.
- Core Infrastructure: Maintain and evolve shared services: AWS, GitHub, Datadog, Cloudflare, distributing ownership across the Platform team.
- Eliminate Toil: Automate manual processes and remove friction from the developer day-to-day.
- Enable Ownership: Coach squads on SLOs, observability, and AI tooling, ensuring they are capable of leading their production behaviour without relying on Platform.
- Strategic Impact: Proactively identify, scope, and deliver high-leverage problems from month six onwards.
You’ll love this role if you…
- Have day-to-day experience with AWS and Terraform, and the judgement to balance performance, cost, and reliability.
- Our stack includes ECS Fargate, RDS, ElastiCache, DynamoDB, Lambda, and EventBridge.
- Have good judgement across CI/CD and observability, comfortable with safe and reliable deployment practices (we use GitHub Actions and Terraform Cloud), and comfortable using metrics, logs, and traces to understand how applications and infrastructure behave.
- Experience and enthusiasm using AI coding tools, or a keenness to adopt this style of working.
- Are willing to pick up app-side stacks like Ruby and Python, and are comfortable operating inside long-lived monoliths without trying to rewrite them.
- Take end-to-end ownership of problems (even without a ticket) you're comfortable operating in ambiguity and defining the problem before the solution.
- A curious and innovative mindset, open to feedback and coaching, and seek out opportunities for learning and development.
- Driven to deliver high-quality results and take initiative.
- You love to collaborate, and are at your best when working cross-functionally with other teams.
- You're excited about problem-solving and love to take a logical and collaborative approach to finding solutions.
It would be great if you also have...
- Been part of rolling out production-ownership practices across a team or organisation.
- Experience working on an e-commerce site or in a fast-growing (preferably consumer-facing) environment.
- Experience setting patterns that other engineers adopted without being told to.
- Experience writing services or apps that fit into distributed architectures — working with APIs, event-driven patterns, and the contracts and practices that keep distributed systems stable.
You can be based in the UK, the Netherlands or elsewhere. We're flexible on what this looks like and would love to discuss how you like to work!
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