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A leader in optical and industrial technologies is looking for a Lead DevOps Engineer to guide the architecture and operation of their Kubernetes-based cloud environment. You will coach the DevOps team and collaborate with product owners and security experts to secure cloud operations. The ideal candidate should have a Master's degree and 5+ years of experience in cloud development, strong skills in Azure and Kubernetes, and proficiency in infrastructure automation.
The Corporate Information Technology (CIT) is the central part of the company’s strategy, developing and implementing innovative security solutions to enhance efficiency and competitiveness in the Carl Zeiss Group. By working closely with various business units, CIT ensures that technological advancements and digital transformations are seamlessly integrated into business processes.
As Lead DevOps Engineer, you will be responsible for the architecture, operation, and continuous development of our Kubernetes-based cloud environment and integrated services. You will provide technical leadership to the DevOps team, coach colleagues, and work closely with Product Owners and Security experts to ensure secure, stable, and future-proof cloud operations. In this role, you will be the key contact for all technical matters related to infrastructure, monitoring, and cloud security.
Master’s degree in Computer Science, Mathematics, Physics, or a related field, or equivalent professional experience.
At least 5 years of experience in cloud operations and development, with strong expertise in Azure and Kubernetes.
Proven ability to design, implement, and maintain scalable, secure, and resilient cloud infrastructures, including CI/CD pipelines (Azure DevOps) and security tool integration.
Hands-on experience with infrastructure automation (Terraform, Ansible) and monitoring (Prometheus, Grafana, Loki, Promtail).
Strong background in backend development (REST APIs, ideally Python/Django or Go) and microservices architectures.
Experience operating containerized SQL (Postgres) and NoSQL (Redis) databases as well as hyperscale GPU infrastructures with large datasets.
Excellent problem-solving skills in production cloud environments, combined with the ability to coach and technically guide DevOps and ML developers.
Strong communication, presentation, and collaboration skills, with a structured, proactive, and independent working style.
Your ZEISS Recruiting Team: Elhan Kolic
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.