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Infrastructure Engineer

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Nieokreślone0Full-time

#479018·Dodano 3 dni temu·4

Źródło: Xebia

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Tech Stack / Keywords

Kubernetes GCP Linux Docker AWS Azure Prometheus GrafanaIAMGo

Podsumowanie oferty

Design and maintain reliable, scalable, and secure infrastructure services, and develop automation and tooling for infrastructure provisioning and management. Improve system performance and reliability through monitoring, incident investigation, and collaboration with application development teams. The profile calls for experience with Linux, GCP (or AWS or Azure), Docker, and Kubernetes.

Wymagania

Extensive experience in Linux system administration, preferably in high-throughput and low-latency environments.
Practical experience using AI-powered assistants such as Claude Code, GitHub Copilot, or Cursor to improve productivity, quality, or decision-making in software delivery.
Strong hands-on experience with GCP services, particularly networking, IAM, compute, storage, and Kubernetes, or transferable experience with AWS or Azure.
Extensive practical knowledge of Docker and Kubernetes, including deploying, scaling, and monitoring Kubernetes clusters.
Understanding of distributed systems architecture and the challenges of operating services across processes and geographical locations.
Hands-on experience with service orchestration, deployment, configuration management, and infrastructure automation.
Understanding of process isolation, containerization, and container orchestration concepts.
Experience with monitoring and observability tools such as Prometheus, Grafana, Stackdriver, Datadog, or New Relic.
Practical experience with incident management, troubleshooting, root cause analysis, and improving system reliability.
Understanding of cloud security best practices, secrets management, and basic compliance requirements.
Good understanding of the software development lifecycle, including version control, building, testing, staging, and deployment.
Strong Continuous Delivery mindset and understanding of infrastructure lifecycle management.
Work from the European Union region and a work permit are required.

Nice to have:

Experience developing and maintaining Kubernetes operators.
Experience deploying and scaling distributed databases and data stores such as Apache Cassandra, ScyllaDB, MySQL, PostgreSQL, Redis, or Memcached.
Experience with Go or a strong willingness to learn it for developing and improving Kubernetes operators.
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, such as agent-based workflows, automation patterns, and AI-augmented development, with a willingness to explore and experiment beyond standard approaches.

Obowiązki

Design, build, and maintain reliable, scalable, and secure infrastructure services.
Develop automation and tooling to simplify infrastructure provisioning, management, and scaling.
Improve infrastructure performance, availability, and resilience as systems and business needs evolve.
Monitor system health, identify potential issues, and implement improvements to ensure service reliability.
Investigate infrastructure incidents, perform root cause analysis, and drive corrective actions.
Collaborate with application development teams on monitoring, capacity planning, and infrastructure improvements.
Implement effective observability, alerting, and incident management practices.
Contribute to infrastructure architecture decisions and continuous improvement initiatives.

Inne informacje

Work from the European Union region and a work permit are required.
Recruitment process: CV review, HR call, interview, client interview, and decision.

Xebia sp. z o.o.

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