[Hiring] AI Platform Engineer @Poland and Eastern Europe

Role Description

You will be:

• Shaping and evolving the AI platform architecture across cloud infrastructure and application services.
• Leading platform deployment activities and infrastructure automation initiatives.
• Owning and maintaining Kubernetes manifests, CI/CD pipelines, and container build images.
• Driving system hardening, reliability, and production readiness improvements.
• Making key architectural decisions connecting platform, infrastructure, and application layers.
• Collaborating with engineering teams to support scalable and efficient platform operations.

Qualifications

• 5+ years of relevant experience.
• Practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery.
• Strong expertise in Terraform (preferred) or similar IaC tools, Helm, and GitOps (Argo CD/Flux a plus).
• Experience with CI/CD (e.g., GitHub Actions).
• Deep knowledge of production Kubernetes (deployments, services, HPA, RBAC, etc.).
• Experience with multi-orchestrator environments (Kubernetes + AWS ECS, GCP Cloud Run, Azure, etc.).
• Solid understanding of data management and Python development.
• Familiarity with observability tools (e.g., OpenTelemetry, Prometheus, Grafana).
• Work from the European Union region and a work permit are required.

Requirements

• Nice to have experience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily work.
• Interest in and familiarity with emerging AI-driven practices (e.g. agent-based workflows, automation patterns, AI-augmented development), with a willingness to explore and experiment beyond standard approaches.

Recruitment Process

• CV review
• HR call
• Technical Interview
• Client Interview
• Decision