Job Description
Step out of your comfort zone, excel and redefine the limits of what is possible. That's just what our employees are doing every single day – in order to set the pace through our innovations and enable outstanding achievements. After all, behind every successful company are many great fascinating people.In a spacious modern setting full of opportunities for further development, ZEISS employees work in a place where expert knowledge and team spirit reign supreme. All of this is supported by a special ownership structure and the long-term goal of the Carl Zeiss Foundation: to bring science and society into the future together.
Join us today. Inspire people tomorrow.
Diversity is a part of ZEISS. We look forward to receiving your application regardless of gender, nationality, ethnic and social origin, religion, philosophy of life, disability, age, sexual orientation or identity.
Apply now! It takes less than 10 minutes.
In our team we are developing data- and AI-driven cloud solutions for consumers in several market segments. We are seeking a skilled and experienced Full-Stack DevOps Engineer to join us.
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Define, develop and implement Cloud Infrastructure and Microservices
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CI/CD pipelines ensuring continuous and highly automated deployment of new releases
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Ensure SLA and scalability of customer-facing cloud solutions
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Risk Assessment and Security Concepts for Cloud Infrastructure and Microservices
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Define and maintain monitoring and alert systems
If you are a talented and motivated Full-Stack DevOps Engineer with a passion for cloud computing and AI, we encourage you to apply for this exciting opportunity. We offer a competitive salary, comprehensive benefits package, and a dynamic work environment where you can grow and advance your career.
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A degree in computer science or a similar qualification
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At least 2 years practical experience as a DevOps Engineer for Cloud Infrastructure & Microservices, proven by successful contribution in several projects
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Extensive knowledge of cloud platforms, especially Microsoft Azure
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Developer Experience (object-based)
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Knowledge and practical experience in development of automated IaC scripts (Bicep, Terraform)
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Strong experience with containerization technologies such as Docker and Kubernetes
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Knowledge and practical experience on Risk Assessment and Cloud Security concepts
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Ideally experience with Azure Machine Learning solutions
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Outstanding hands-on mentality
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Team Player, willingness to actively connect and work with internal and external partners
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Very good communication skills in English