Platform Operations Engineer - SAP Big Data Fabric Service
SAP
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
Join an innovative, collaborative development environment and help build secure data access and connectivity capabilities as part of SAP's Big Data Fabric Services (BDFS).We are looking for a Platform Operations Engineer who can contribute across operability, onboarding and technical problem-solving in broader BDFS context. We do not work as data scientists analyzing or extracting data directly. We build the platform capabilities that make this possible.
THE PRODUCT
BDFS portfolio enables SAP Lines of Business and customers to enter the world of big data more easily. BDFS delivers platform capabilities such as Apache Spark as a service, multi-language data processing on Kubernetes-based infrastructure, and access to hyperscale-agnostic data sources using the Delta Sharing protocol on top of the HANA Data Lake File Service (HDLFS).
WHAT YOU'LL DO
As a Platform Operations Engineer, you will be the fist point of contact for SAP line of business (LoBs) and external customers who use BDFS services. You will help our customers to resolve issues and onboard on our services. This role combines technical troubleshooting with clear communication, ensuring internal and external customers can stay productive and compliant. Beyond reactive support, you will contribute to building a scalable support ecosystem, identifying recurring issues, feeding insights back to the engineering team and improving internal processes.
Key tasks include:
- Triage and issue managementHandling of service requests
- Service onboarding and enablement
- Monitor support channels and ensure timely, high-quality responses to inquiries
- Root cause analysis process orchestration
- SLO/SLA validation and reporting
- CI/CD pipeline maintenance and optimization
- Actively interaction with engineering teams
WHAT YOU BRING
Required skills
- Bachelor's degree in any of the following areas: Computer Science, Systems Analysis, Information Technology, Mathematics, Physics, Engineering.
- Advanced or fluent English.
- Familiarity with any of the following programming languages: Java, Python, Go and/or Rust.
- Strong troubleshooting and diagnostic skills — ability to reproduce issues, read logs, and trace problems across tool components
Familiarity with modern AI technologies is desirable, including:
- Basic understanding of generative AI tooling and its role in software developmentAwareness of concepts such as MCP, agent skills, and AI-assisted workflows
- Ability to troubleshoot complex software issues leveraging technical and product skills.
- Ability to quickly learn new areas of knowledge.
- Familiarity with cloud-native solutions.
- Familiarity with observability practices including metrics, tracing, health checks, alerting, and OpenTelemetry.
LEARNING OPPORTUNITIES
By joining our team, you will be exposed to the latest technologies and work with world-class developers who will take your professional skills to the next level.You will work across modern cloud-native platform engineering topics including Kubernetes, observability, security, and large-scale distributed services.You will deepen your understanding of secure enterprise connectivity and SAP data access scenarios across hybrid landscapes.You will have the opportunity to shape platform capabilities that evolve from current connectivity scenarios into broader API-driven data access capabilities across future project phases.
MEET YOUR TEAM
The Big Data Fabric Services team is responsible for:
- Extend and complete the SAP Data Platform with big data technologies to support different SAP Lines of Business.
- Leverage Apache Spark and object store technology to provide scalable and cost-effective computing and storage services for big data ingestion, processing, and sharing.
- Integrate into SAP BTP and HANA Cloud & Data Lakehouse to offer a unified development and deployment experience for different SAP Lines of Business.
- Assure multi-tenancy and secure data processing.
- Build capabilities for secure partner connectivity and governed access to SAP business data.
In the BDFS team, we have an agile and collaborative culture where knowledge sharing is fostered.
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.
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: Ver o e-mail no jobs.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 .
Please note that any violation of these guidelines may result in disqualification from the hiring process.
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