Associate 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 an Associate Platform Engineer, you will contribute to platform development and operations with guidance and mentorship. Your responsibilities include:

• Build and automate provisioning, configuration, and lifecycle management for Big Data platform components
• Implement cloud-agnostic platform features across hyperscalers (Amazon Web Services, Google Cloud, Microsoft Azure, Alibaba Cloud, and SAP Cloud infrastructure)
• Support enhancements to Kubernetes-based runtimes, including optimization and basic automation
• Leverage AI capabilities in your daily work.
• Contribute to platform reliability by learning and applying foundational site reliability engineering practices (SRE) concepts (monitoring, alerting, incident handling)
• Participate in team on-call duties outside working hours after sufficient onboarding and training

What you bring:

You may be a great fit for this early-career role if you bring some of the following. We encourage

applications even if you don’t meet every listed point:

• Educational background in Computer Science, Engineering, or equivalent practical experience (internships, personal projects, open-source work)
• 0-2 years of professional experience in software, cloud engineering, DevOps, or related areas
• Basic understanding of cloud computing concepts
• Practical experience with use of coding agents in planning, implementation, test generation, review, deployment and operations while retaining engineering accountability and measurable guardrails.
• Prior internships or hands-on projects involving cloud services, automation, or distributed systems are a plus
• Introductory knowledge of containers (Docker), Linux, or distributed systems
• Familiarity with at least one programming language such as Python or Go
• Interest in learning Kubernetes, cloud platforms (Amazon Web Services, Azure, GCP), and automation tooling
• Analytical thinking and problem-solving skills
• Collaborative attitude, willingness to ask questions, and openness to feedback
• 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 patterns.

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: [email protected].

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: 458691 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Graduate | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid