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Senior Platform Engineer - SAP Business Technology Platform Big Data Team

SAP

📅 20/08/2026
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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 Bring out your best SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best. We win with inclusion SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world. SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and 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: Careers@sap.com. For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program , according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training. Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements. Successful candidates might be required to undergo a background verification with an external vendor. 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: [[id]] | Work Area: [[filter1]] | Expected Travel: [[filter3]] | Career Status: [[filter2]] | Employment Type: [[filter4]] | Additional Locations: [[filter10]] #LI-Hybrid
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