About Xebia
Xebia is a global AI-first digital transformation and engineering partner with over 25 years of experience and 5,000 professionals across 16 countries. It helps organizations design and build scalable products, platforms, and data-driven solutions, specializing in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products. In the CEE region, its nearly 1,000 experts deliver modern applications, data platforms, and AI solutions for clients.
Responsibilities
•Design, maintain, and improve CI/CD pipelines and automated deployment processes in an Azure environment
•Manage cloud infrastructure using Infrastructure as Code (IaC), particularly Terraform
•Work with containerization and orchestration technologies such as Docker and Kubernetes
•Maintain monitoring, logging, and observability solutions using tools such as Grafana and Checkmk
•Integrate security checks into CI/CD pipelines to support secure software delivery
•Apply AI tools to everyday DevOps tasks, including code and script generation, automation, and technical documentation
•Collaborate with engineering teams to improve deployment processes, infrastructure reliability, and operational efficiency
•Contribute to Agile delivery processes using SAFe, Scrum, or similar frameworks
Requirements
•5+ years of professional experience as a DevOps Engineer
•Practical experience with Microsoft Azure
•Strong hands-on experience with CI/CD pipelines, automation, and deployment processes
•Experience with Infrastructure as Code, particularly Terraform, and container technologies such as Docker and Kubernetes
•Experience with monitoring and logging tools such as Grafana and Checkmk, or equivalent solutions
•Hands-on experience using AI tools in DevOps work, for example to generate code and scripts, automate tasks, or create technical documentation
•Understanding of security practices and experience integrating security checks into CI/CD pipelines
•Experience working in Agile environments using SAFe, Scrum, or similar frameworks
•Strong problem-solving skills and a proactive approach to improving infrastructure and delivery processes
•German at C1 level or native proficiency, with the ability to understand Swiss German
•Good command of English (min. B2)
Nice to have
•Experience working in public-sector organizations or public companies
•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
Conditions
•Availability to work onsite in Zurich for up to 40% of the time
•Work from the European Union region and a work permit are required
