What the role involves

• Design, build, and operate general-purpose AI platform infrastructure — including MCP gateways, the internal agentic platform, context engineering services, and supporting SDKs and tooling.
• Build secure, governed data-access and identity layers that serve both human users and autonomous agents, with appropriate access controls, auditing, and observability.
• Develop developer-facing tooling and paved paths that make it straightforward for product and engineering teams to build, deploy, and observe AI-powered and agentic workflows.
• Own services end to end: from architecture and implementation through to deployment, monitoring, and on-call operation on a Kubernetes-based cloud platform.
• Define and codify infrastructure using infrastructure-as-code; improve the reliability, networking, and performance of the platform.
• Partner with product, security, and infrastructure teams to ensure platform capabilities are safe, compliant, and production-ready.
• Set engineering standards and mentor others; act as a force multiplier for how AI is adopted across the organisation.

What we are looking for

• 4+ years of software engineering experience building full-stack or backend-heavy product systems.
• 3+ years of meaningful cloud infrastructure experience, including hands-on work with Kubernetes, infrastructure-as-code, and networking.
• Credible, practical experience leveraging AI tools — including agents, SDKs, and coding assistants — to augment developer productivity and ship software more effectively.
• Strong fundamentals in distributed systems, API design, security, and operational excellence.
• A bias towards simplicity, paved paths, and building infrastructure that others can safely build on.

Nice to have

• Experience with one or more of Python, TypeScript, Go, or Rust.
• Experience building developer platforms, internal tooling, or platform-as-a-product.
• Familiarity with the Model Context Protocol (MCP), agent orchestration, RAG, or context engineering.
• Experience designing data-access, identity, or governance layers for AI/agentic systems.
• Experience operating in a regulated environment.
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