Senior Platform Engineer

• Build and operate the internal AI platform: secure AI coding environments, AI in CI/CD, agentic workflows on AWS (Bedrock / Agent Core), and reusable building blocks teams adopt by default.
• Own products end to end. You design, build, run, and improve them with a product mindset, treating fellow engineers as your customers and shaping interfaces that are genuinely easy to build with.
• Start from the developer's day. You figure out where the real friction is, decide what would actually make their work easier, and measure whether people adopt it once it ships.
• Take ownership of a topic, plan the work, drive it to done, and keep stakeholders in the loop.
• Set the bar for how we build with AI. You turn an interesting idea into tooling people can actually rely on, and you bring the rest of the team along with you.
• Shape architecture and technology choices for our platform foundations (Kubernetes, CI/CD, IaC on AWS) and for the AI capabilities on top, and say what you think in technical discussions.
• Keep the platform reliable, secure, observable, and cost-aware. You'll join the on-call rotation and help troubleshoot production incidents.
• Capture reusable patterns, templates, and blueprints so the whole organization moves faster.

• Senior-level experience (typically 5+ years) building and operating infrastructure or platform products.
• Hands-on GenAI experience. You've built with LLM APIs, tool/function calling, retrieval, agents, or agent frameworks and put them into real workflows.
• Modern AI coding tools (e.g. Claude Code, Codex) are part of how you work day to day.
• Strong AWS fundamentals and a genuine appreciation for Infrastructure as Code and Pipeline as Code.
• A real feel for developer experience. You can look at a feature and tell whether it'll make a developer's life easier or just add another thing to learn, because you've lived that friction yourself.
• Strong communication and collaboration. You work well in a team, share your opinions clearly, and can move a topic forward with people across functions.
• Solid engineering fundamentals: testing, debugging, code quality, and getting things ready for production.
• Familiarity with SRE / DevOps principles and observability concepts (CloudWatch, Datadog, OpsGenie or similar).
• You code well in at least one language, ideally Python, Go, or TypeScript.
• A bias for shipping. You're comfortable taking something ambiguous and turning it into a working solution with sensible scope.

We understand that there is life at work and life outside of work. Here are a few benefits we all benefit from that support us to be our creative best. 

Benefits from Day 1 

• Gym discounts 
• Employee and Family Assistance program 
• Virtual wellness events 
• Conferences & training budget 
• Regular internal training programs 

Financial planning 

• Let us help you invest in your future with 3% matching towards your pension and multiple forms of income protection.