Platform Engineer

We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.     Purpose and Objectives The SAP HANA Database & Analytics organization is a global organization dedicated to delivering database & analytics technology and solutions such as SAP HANA Database and SAP Analytics Cloud that address customers' unique and competitive business requirements. In the SAP HANA Database & Analytics Cross-Engineering organization, we work with large amounts of quality-related data and the latest AI/ML technologies to improve the quality of our products and make developers' lives easier. Expectations and Tasks As a Software Engineer, you will be working in the global HANA QA Data Engineering Development team within SAP HANA & Analytics Cross-Engineering, alongside a group of exceptionally talented and motivated colleagues. Your role will focus on backend development and AI/ML engineering. What You'll Do:

Design and develop AI-powered tools and services that leverage Large Language Models (LLMs) and other AI techniques to tackle software engineering challenges such as fault localization, automatic code repair, and providing actionable insights to improve software quality and developer productivity. Build and manage reliable data pipelines for training and serving AI models, using techniques to improve model performance and generalization. Collaborate with cross-functional teams to develop and execute a comprehensive AI strategy that aligns with our goals of adopting and customizing machine learning models for quality improvement. Continuously monitor, fine-tune, and optimize AI models to ensure optimal performance and adapt to changing data patterns and business requirements. Stay up-to-date with the latest AI trends, including agentic workflows and tool-use patterns, context engineering, multi-agent orchestration, and emerging integration standards (e.g., MCP, Skills, and other evolving patterns), and apply them to innovate our AI-powered tools and services. Document your findings, solutions, and best practices clearly and concisely for both technical and non-technical audiences. Read and apply relevant research (e.g., arXiv papers, industry technical reports) on LLMs, code intelligence, and software engineering automation, and translate promising findings into practical prototypes or production improvements.

Bachelor's degree in Computer Science, Information Technology, or a related field (Master's degree a plus). Solid understanding of software development best practices and a keen interest in applying machine learning techniques to build and deploy AI-powered applications, with a willingness to learn and adapt to the specific challenges and requirements of the role. Proficiency in Python programming and an understanding of its application in AI/ML projects. Familiarity with PyTorch, Hugging Face, or Langchain is a plus but not mandatory. 3+ years of experience in software development, with expertise in backend development and AI/ML engineering is a plus, but no hard limit on years of experience. Experience with Docker, containerization technologies, and cloud infrastructure, along with an understanding of DevOps practices, is a plus but not mandatory. Database and SQL experience, with an ability to manipulate and manage data efficiently. Excellent communication and collaboration skills, with the ability to work effectively in a global, cross-functional team. Strong problem-solving skills, creativity, and the ability to work independently in a