Senior Platform Engineer
Xebia
You will be:
designing, building, and operating scalable Kubernetes-based platform infrastructure,
developing backend platform services and reusable engineering components,
building and maintaining cloud-native solutions (primarily on AWS),
creating and evolving Infrastructure as Code solutions using Terraform,
designing and implementing CI/CD pipelines and deployment automation,
developing scalable multi-tenant platform capabilities for engineering teams,
building self-service developer platform features and internal tooling,
designing and maintaining APIs and platform architecture standards,
improving platform reliability, observability, and monitoring capabilities,
collaborating with engineering teams to improve developer experience and platform adoption,
contributing to platform engineering best practices and technical standards,
supporting container platform operations and orchestration processes,
driving automation and operational excellence across the platform ecosystem.
Your profile:
5+ years of experience as a Platform Engineer,
practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery,
strong hands-on experience with Kubernetes, including cluster operations and orchestration concepts,
strong backend engineering background,
strong programming skills in TypeScript and/or Go; Python experience is a plus,
solid experience with cloud platforms, preferably AWS,
practical experience with Infrastructure as Code tools, preferably Terraform,
experience with CI/CD pipelines and deployment orchestration,
experience designing scalable multi-tenant systems,
strong understanding of API and platform architecture,
solid Linux and networking fundamentals,
experience with observability and monitoring solutions,
experience building reusable self-service platform capabilities for developers,
good English communication skills (at least B2 level).
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,
experience with Internal Developer Platforms (IDP),
experience building Kubernetes operators and controllers,
experience with Backstage or developer portal tooling,
experience in container runtime or platform engineering,
knowledge of event-driven and distributed systems architecture,
experience with service mesh technologies and OpenTelemetry.
Work from the European Union region and a work permit are required.
Recruitment Process: CV review -HR Call - Interview - Client Interview - Decision
Benefits
Development:
development budget of up to 6,800 PLN,
we fund certifications e.g.: AWS, Azure, ISTQB, PSM,
access to Udemy, Safari Books Online and more,
events and technology conferences,
technology Guilds,
internal training,
Xebia Library,
Xebia Upskill.
We take care of your health:
private medical healthcare,
multiSport card - we subsidise a MultiSport card,
mental Health Support.
We are flexible:
flexible working hours,
B2B or permanent contract,
contract for an indefinite period.