Super Technologies

AI platform engineer

In short

This role builds and operates a general-purpose AI platform, including MCP gateways, an internal agentic platform, context engineering services, SDKs, and developer tooling, on a Kubernetes-based cloud platform. The company is a global tech group in entertainment and iGaming (Playstack), serving millions of customers. It requires 4+ years of software engineering experience and 3+ years of cloud infrastructure experience with Kubernetes, IaC, and networking, plus practical use of AI tools like agents and coding assistants. Fully remote, open to candidates in Croatia, Spain, or the Netherlands.

About
Super Technologies is a global technology group building entertainment and fan-centric experiences. Its Playstack powers sports, gaming, and fan experiences, serving millions of customers worldwide.
Responsibilities
•Design, build, and operate general-purpose AI platform infrastructure, including MCP gateways, the internal agentic platform, context engineering services, SDKs, and tooling
•Build secure, governed data-access and identity layers for human users and autonomous agents, with access controls, auditing, and observability
•Develop developer-facing tooling and paved paths 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 deployment, monitoring, and on-call operation on a Kubernetes-based cloud platform
•Define and codify infrastructure using infrastructure-as-code; improve platform reliability, networking, and performance
•Partner with product, security, and infrastructure teams to ensure platform capabilities are safe, compliant, and production-ready
•Set engineering standards and mentor others to support AI adoption across the organisation
Requirements
•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
•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 Python, TypeScript, Go, or Rust
•Experience building developer platforms, internal tooling, or platform-as-a-product
•Familiarity with 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
Conditions
•Location: Croatia, Spain, Netherlands
•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

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