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AI Platform Engineer

RemoteSpain only
Published
Role
Backend
Experience
Senior
Employment
Full-time
Company size
Enterprise
Salary not disclosed
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Open to ES only. Set where you work from to check your eligibility.

No BS summary

Seeking an AI Platform Engineer with 4+ years of software engineering experience and 3+ years in cloud infrastructure, including Kubernetes and IaC. Must have practical experience with AI tools like agents and SDKs to boost developer productivity. Requires strong distributed systems, API design, security, and operational excellence fundamentals.

Core skills

AI Platform InfrastructureAgentic PlatformContext Engineering

Required skills

Kubernetesinfrastructure-as-codenetworkingdistributed systemsAPI designsecurityoperational excellence

Optional skills

PythonTypeScriptGoRustdeveloper platformsinternal toolingplatform-as-a-productModel Context Protocol (MCP)

What you'll do

  • 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 they require

  • 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.

Benefits

  • Medical / Health Insurance
  • Open Annual Leave
  • Employee Assistance Programme
  • Training & Learning Development
  • Additional benefits vary by country and will be shared during the hiring process.

We are a global technology group, dedicated to building the future of entertainment and fan-centric experiences.

GamingEnterprise
Salary not disclosed