AI Platform Engineer

Super; Madrid; Presencial; EUR 60.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical / Health Insurance

Open Annual Leave

Employee Assistance Programme

Training & Learning Development

Descripción de la vacante

Super in Madrid is seeking a senior software engineer to design, build, and operate a general‑purpose AI platform infrastructure. You will own from architecture to on‑call, delivering secure data access, identity layers, and developer tooling to accelerate AI‑powered workflows.

Ideal candidates have 4+ years in software engineering and 3+ years in cloud infrastructure, with hands‑on Kubernetes, IaC, and security experience. A bias toward simple, scalable, production‑ready platforms is essential.

Formación

• 4+ years of software engineering experience building full‑stack or backend‑heavy systems.
• 3+ years of cloud infrastructure experience, incl. Kubernetes, infrastructure‑as‑code, and networking.
• Credible experience using AI tools, agents, SDKs, and coding assistants to boost developer productivity.

Responsabilidades

• Design, build, and operate general‑purpose AI platform infrastructure, including gateways, internal platform, and tooling.
• Create secure, governed data‑access and identity layers with proper access controls and observability.
• Develop developer‑facing tooling to simplify building, deploying, and observing AI workflows.
• Own services end to end—from architecture to deployment, monitoring, and on‑call on a Kubernetes cloud platform.
• Codify infrastructure as code; improve reliability, networking, and performance of the platform.
• Collaborate with product, security, and infra teams to ensure safe, compliant production capabilities.
• Mentor others and drive AI adoption across the organization.

Conocimientos

Software engineering

Distributed systems

API design

Security

Cloud infrastructure

Kubernetes

Herramientas

Kubernetes

Terraform

CI/CD tooling

Python

Go

TypeScript

Descripción del empleo

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