Developer Associate (f/m/d) for AI in SAP Business Technology Platform, ABA

at  SAP

WE HELP THE WORLD RUN BETTER

At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from.

WHAT YOU BRING

We are seeking motivated, talented, and dedicated developers who are ready to embark on an exciting journey and build innovative, high-quality solutions.
The most crucial attribute we seek is open-mindedness towards individuals and novel concepts. We anticipate your readiness to embrace innovative technologies and approaches, and your willingness to think creatively. Be assured that we are committed to supporting you throughout this journey as a valued member of our team.

Having an excellent master’s degree in computer science or natural sciences lays a strong foundation for a successful career with us. Knowledge in one or more of the following areas is beneficial:

• Kubernetes and cloud deployment
• Data science
• Programming languages, such as Go, Python, or C++
• GitHub
• Fluency in English and German

Our team ensures the observability of the ABAP Cloud Platform. We develop concepts for monitoring, logging, and tracing, as well as instrument business application frameworks. Additionally, we provide modern UIs and dashboards for development operations (Grafana) and customers (SAP Fiori), and leverage AI for intelligent operations. Our close collaboration with partners, stakeholders, and customers creates a technically challenging and diverse work environment with international contacts.
You will be responsible for supporting our team in implementing AI use cases, which includes setting up pipelines for training AI models and conducting their inference. We are using Python, Go, and JavaScript to develop AI solutions that will be deployed in our cloud environment.