Senior AWS DevOps Engineer | AI-Powered Cloud & K8s

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.

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 arerequired.

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.

Recruitment Process:

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

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Self-assessment of technical skillsRate your proficiency in the each of followingAWSEKSCDKGitOpsKubernetesTerraform/ HelmPythonon a scale of 1 to 5, where:1 - Beginner (basic knowledge, limited practical experience)2 - Junior (some practical experience, still learning)3 - Intermediate (comfortable using it independently in projects)4 - Advanced (deep understanding, can optimize and solve problems)5 - Expert (can mentor others, design complex solutions) *

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