DevOps Engineer with GCP

Hello, let’s meet!

Xebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 5,000 professionals across 16 countries, we help organizations design and build scalable products, platforms, and data-driven solutions.

We specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products, combining deep technical expertise with a strong focus on engineering excellence and a people-first culture.

In the CEE region, we’re a team of nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for clients such as Millennium, ING, Play, Edenred, Arabian Drilling, FedEx, Leroy Merlin, Truecaller, Volotea, Schmitz Cargobull, and many, many more.

• hands-on experience with Google Cloud Platform (GCP),
• practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery,
• strong practical experience with Terraform and Infrastructure as Code,
• hands-on experience with Kubernetes and managing containerized workloads,
• experience with Flux CD or other GitOps tools,
• understand cloud-native architecture and Kubernetes ecosystem principles,
• experience deploying and managing services directly within Kubernetes clusters,
• familiarity with running stateful services in Kubernetes, such as PostgreSQL (ideally CloudNativePG), Kafka, or Redis-compatible databases,
• experience managing cloud resources through Kubernetes manifests and operators,
• understand infrastructure automation, configuration management, and deployment best practices,
• good English communication skills (at least B2 level).

Work from the European Union region and a work permit are required.

Recruitment Process

CV review – HR call – Interview – Client Interview – Decision

• designing, building, and maintaining a scalable, production-ready cloud platform,
• developing and improving infrastructure automation and deployment processes,
• managing and optimizing Kubernetes-based environments,
• supporting the deployment and operation of platform services and infrastructure components,
• collaborating with development teams to ensure reliable and efficient delivery of new capabilities,
• working closely with an experimental team to turn validated prototypes into production-ready solutions,
• contributing to platform architecture decisions and cloud-native best practices,
• ensuring the platform remains reliable, maintainable, and ready to support evolving business needs.