Platform Engineer - SAP Business Technology Platform Big Data Team

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.     What you’ll build   As a 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 resilient, cloud‑agnostic Big Data services that run seamlessly across major hyperscale environments, including Amazon Web Services, Google Cloud, Microsoft Azure, Alibaba Cloud, and SAP Cloud infrastructure. Leverage AI capabilities in your daily work. 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 will be successful in this role if you have an intrinsic interest in cloud native, distributed systems with all its facets from design, improvement, observability until running in production at scale. We encourage applications even if you don’t meet every listed point:

Background in Computer Science, engineering, or equivalent practical experience At least 2-5 years of professional experience in cloud computing, distributed systems, or platform engineering Knowledge of Kubernetes internals, container runtimes, and Linux systems engineering Solid experience with use of coding agents in planning, implementation, test generation, review, deployment and operations while retaining engineering accountability and measurable guardrails. Proficiency in Go or Python Familiarity with cloud infrastructure providers such as Amazon Web Services, Azure, or Google Cloud Platform; OpenStack is a plus Understanding of system design, networking, scalability, and performance optimization Solid 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