SAP (Associate) Kubernetes Engineer - Machine Learning Foundation Job in Berlin, Germany

Requisition ID: 191359

Work Area: Software-Design and Development

Location: Berlin

Expected Travel: 0 - 10%

Career Status: Professional

Employment Type: Regular Full Time


SAP started in 1972 as a team of five colleagues with a desire to do something new. Together, they changed enterprise software and reinvented how business was done. Today, as a market leader in enterprise application software, we remain true to our roots. That’s why we engineer solutions to fuel innovation, foster equality and spread opportunity for our employees and customers across borders and cultures.

SAP values the entrepreneurial spirit, fostering creativity and building lasting relationships with our employees. We know that a diverse and inclusive workforce keeps us competitive and provides opportunities for all. We believe that together we can transform industries, grow economics, lift up societies and sustain our environment. Because it’s the best-run businesses that make the world run better and improve people’s lives.


The SAP New Ventures & Technologies is a strategic innovation entity within SAP, combining software engineering excellence with thought leadership and entrepreneurial spirit. Across various focus clusters and by building on strong teams, we pioneer game-changing solutions in close collaboration with startups, customers & partners in industry and research as well as with other SAP units. To ensure a successful go-to-market, we follow an end-to-end responsibility approach.

By exploring unconventional ideas and developing inspiring proofs of concept, we push the state of the art in computer science and its applied fields to provide SAP with foresight into future trends.

As an (Associate) Kubernetes Engineer for Leonardo Machine Learning Foundation, you will have the unique opportunity to be part of the machine learning platform team within the New Ventures & Technologies division in Berlin. This very dynamic, fun and start-up type of environment provides a huge potential to learn and work on emerging technologies such as Machine Learning, AI, Cloud and Big Data. You will be working together with experienced software engineers and machine learning experts to deliver state-of-the-art intelligent services in our cloud ecosystem.


Your tasks will include:

  • Deployment of SAP’s Machine Learning Platform to various cloud providers

  • Automation of development and deployment processes

  • Continuous delivery of our software

  • Additionally, you will contribute to our Site Reliability Engineering processes.


  • Master’s degree of a university or university of applied sciences with preferred field(s) of study: Computer Systems Engineering, Computer Science, or similar.

  • Computer skills: excellent coding skills in Go, Python, or a similar language.

  • Familiarity with Cloud concepts (IaaS, PaaS, SaaS), virtualization, and Docker containers. Experience using a cloud provider such as Amazon, Azure or Google, and of using Kubernetes

  • An interest in hardware-accelerated high-performance computing (e.g. GPUs, TPUs, FPGAs).

  • Language skills: good English

  • Soft skills: good communication skills, as well as the ability and willingness to learn fast, the ability to quickly put ideas into practice., and good problem-solving ability


0-4 years related field



Success is what you make it. At SAP, we help you make it your own.

A career at SAP can open many doors for you. If you’re searching for a company that’s dedicated to your ideas and individual growth, recognizes you for your unique contributions, fills you with a strong sense of purpose, and provides a fun, flexible and inclusive work environment – apply now .


To harness the power of innovation, SAP invests in the development of its diverse employees. We aspire to leverage the qualities and appreciate the unique competencies that each person brings to the company.

SAP is committed to the principles of Equal Employment Opportunity and to providing reasonable accommodations to applicants with physical and/or mental disabilities. If you are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team (Americas: or , APJ: , EMEA: ).

Successful candidates might be required to undergo a background verification with an external vendor.

Additional Locations: Walldorf