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описание
Work from the European Union region and a work permit are required.
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.
задачи
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
требования
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)
Будет плюсом: 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
условия
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