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.
Obtenga más información sobre este puesto leyendo los detalles a continuación y luego envíe su solicitud para ser considerado.
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 bi
📌 AI Platform Engineer (Madrid)
🏢 Super
📍 Madrid