Descripción de la oferta
You will be joining the Core AI tribe within Super's Platform organisation, a team responsible for building the general‑purpose infrastructure that enables product and engineering teams to leverage AI capabilities.
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 Be Able To
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.
What We Offer
Medical / Health Insurance
Open Annual Leave
Employee Assistance Programme
Training & Learning Development
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