Senior AWS DevOps

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.

You will be:

• building and supporting the tools, processes and infrastructure empowering the faster delivery and scaling of software iterations (ideally with greater quality and the necessary operational insight),
• ensuring availability, reliability and scalability of application infrastructure,
• building and supporting continuous integration/delivery and release tools,
• ensuring the right metrics are collected and monitored.

Your profile:

• smart and tech-savvy engineer with 5+ years of experience working with DevOps practices and Continuous Delivery,
• practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery,
• practical knowledge of AWS services, infrastructure and networking,
• solid experience with Kubernetes (ideally EKS on AWS) and container orchestration,
• Python knowledge,
• hands-on with GitOps practices, preferably with ArgoCD,
• strong skills in Terraform and Helm,
• proficiency in Bash and PowerShell scripting,
• experience with CI/CD pipelines and tooling (GitLab CI/CD, GitHub Actions, or similar),
• experience with monitoring, observability, and logging tools, such as Prometheus, Grafana, AppDynamics, and OpenSearch,
• security awareness (OWASP, encryption, secrets management),
• very communicative and collaborative, with a strong sense of ownership,
• upper intermediate/advanced English (B2/C1).

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

Nice to have:

• AWS certifications such as Solutions Architect or Platform Engineer,
• familiarity with FluxCD,
• experience with Rancher,
• knowledge of Keycloak,
• 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.