Senior Platform Engineer (f/m/d)

Trust something new, grow beyond itself and redefine the boundaries of the feasible. That is exactly what our employees can and should live daily. To set the pace with our innovations and make it great. Because there are a lot of fascinating people behind every successful company.

ZEISS employees work in an open and modern environment with numerous development and further training opportunities. Our culture is characterized by expert knowledge and team spirit. All this is supported by the special ownership structure and the long-term goal of the Carl-Zeiss Foundation: to advance science and society together.

Today dare. Inspire tomorrow.

Diversity is part of ZEISS. We look forward to your application regardless of gender, nationality, ethnic and social origin, religion, world view, disability, age as well as sexual orientation and identity.

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ZEISS Semiconductor Manufacturing Technology

Enabler for smaller, more powerful, and more energy-efficient microchips

Working for tomorrow today. Around 80 percent of all microchips worldwide are produced using ZEISS technologies. As the centerpiece of every electronically controlled system, You have become an integral part of our everyday lives – whether in smartphones, smart homes or smart professionals. ZEISS is a technology leader in the field of semiconductor manufacturing equipment. With high-precision lithography optics, photomask systems and process control solutions, ZEISS driving the production of ever smaller, increasingly powerful, and more energy-efficient microchips, and thus plays a pivotal role in the age of micro- and nanoelectronics.

Independent design, implementation, and maintenance of IT platforms and AI services Integration of modern AI and LLM technologies into existing enterprise landscapes Building and evolution of MLOps, LLMOps, and platform engineering practices Automation of deployment, operations, and governance processes Ensuring scalability, availability, security, and compliance of the platform Development and optimization of observability, monitoring, and cost-management solutions Advising and supporting development teams in using the platform solutions

Completed studies in computer science, business informatics, or a comparable qualification At least 5 years of professional experience in designing, implementing, and maintaining IT platforms Solid knowledge of Linux, Kubernetes, and cloud computing Good knowledge of modern CI/CD and GitOps methods Strong experience in developing scripts and tools to automate deployments and configurations Ideally knowledge of MLOps, LLMOps, and AI governance concepts; experience in building and operating AI, machine learning, or generative AI platforms Comprehensive analytical and problem-solving abilities as well as team player attitude Very good German and English skills