👉 Senior Platform Engineer
⚲ Wrocław, Gdańsk, Rzeszów, Warszawa
20 000 - 31 000 PLN netto (B2B)
Wymagania
- Terraform
- Kubernetes
- TypeScript
- Golang
- Python
- Cloud
- Linux
Opis stanowiska
🟣 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.
• 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.
🔍 Dekoder Ogłoszenia
🔴
developing backend platform services and reusable engineering components
Może oznaczać tworzenie narzędzi wewnętrznych, które nie są bezpośrednio widoczne dla klienta końcowego, a ich wartość jest trudniejsza do zmierzenia.
🔴
building self-service developer platform features and internal tooling
Może oznaczać, że głównym celem roli jest tworzenie narzędzi dla innych zespołów, a nie bezpośrednie tworzenie produktów.
🔴
collaborating with engineering teams to improve developer experience and platform adoption
Może oznaczać, że duża część pracy będzie polegać na wspieraniu innych zespołów i rozwiązywaniu ich problemów, a nie na samodzielnym budowaniu nowych funkcjonalności.
🔴
improving platform reliability, observability, and monitoring capabilities
Może oznaczać, że będziesz głównie zajmować się utrzymaniem i poprawą istniejącej infrastruktury, a nie innowacyjnym rozwojem.
🔴
practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery
Wymaganie to może być próbą zminimalizowania liczby potrzebnych inżynierów lub oczekiwaniem, że AI zastąpi część pracy, a nie tylko ją wspomoże.