Senior 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. 

As a Senior Platform Engineer, you will design, implement, and operate the Big Data services (Kafka, Cassandra, Spark) that power SAP’s enterprise‑scale cloud solutions. This includes distributed systems, multi‑cloud infrastructure, Kubernetes‑based runtimes, and automation frameworks that enable reliable, scalable, and secure platform operations.

Your contributions will strengthen platform performance, developer experience, operational resilience, and the technical foundations of SAP Business Technology Platform (SAP BTP). We welcome individuals who bring curiosity, diverse experiences, and a commitment to reliable, high‑quality engineering.

• Build and automate provisioning, configuration, and lifecycle operations for Big Data components within SAP Business Technology Platform, ensuring scalable, repeatable, and reliable deployment workflows
• Design and implement cloud‑agnostic platform capabilities that run seamlessly across major hyperscale environments, including Amazon Web Services, Google Cloud, Microsoft Azure, Alibaba Cloud, and SAP Cloud infrastructure.
• Enhance Kubernetes platform capabilities, including runtime optimization and automated scaling
• Apply site reliability engineering practices (SRE), contributing to robust SLIs/SLOs and effective incident response
• Use data, monitoring, and telemetry to improve platform performance, reliability, and efficiency
• Participate in an on‑call duties outside working hours supporting globally distributed, business‑critical services

What you bring:

You may be a great fit for this role if you bring several of the following. We encourage applications even if you don’t meet every listed point:

• Background in Computer Science, engineering, or equivalent practical experience
• At least 5-8 years of professional experience in cloud computing, distributed systems, or platform engineering
• Solid knowledge of Kubernetes internals, container runtimes, and Linux systems engineering
• Proficiency in Go or Python
• Strong hand-on understanding of LLM applications, agentic workflows, AI assistant tools.
• Familiarity with cloud infrastructure providers such as Amazon Web Services, Azure, or Google Cloud Plarform; OpenStack is a plus
• Understanding of system design, networking, scalability, and performance optimization
• Strong problem-solving and analytical capabilities, with a collaborative, proactive mindset and a commitment to continuous improvement.
• Ability to work on complex engineering problems with autonomy and accountability
• Clear communication skills in English, both written and verbal

Where you belong:

You will join the engineering team operating SAP BTP’s Big Data services — Kafka, Cassandra, Spark — across multi‑cloud environments. We work in an agile, collaborative environment where continuous learning and blameless problem-solving are part of our culture. Our team values open communication, knowledge sharing, and supporting each other's growth. You will have the opportunity to work on strategically important initiatives that shape how SAP builds and operates at scale, with exposure to cloud-native technologies and enterprise architecture pattern

AI Usage in the Recruitment Process

For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.

Please note that any violation of these guidelines may result in disqualification from the hiring process.
Requisition ID: 450151  | Work Area: Software-Design and Development  | Expected Travel: 0 - 10%  | Career Status: Professional  | Employment Type: Regular Full Time   | Additional Locations:  #LI-Hybrid