Student Software Engineer – Cloud, Big Data, Billing & AI

Job Description

What you'll do

Join a skilled Agile development team building and operating a large-scale cloud platform for SAP FinOps and Billing.

• Develop and enhance cloud-native, distributed systems for collecting, processing, aggregating, and mediating high-volume event data.
• Work on backend services and integrations with billing and financial systems, covering the flow from data ingestion and processing to aggregation and billing.
• Contribute to Big Data processing pipelines and highly scalable microservices.
• Work with databases, event-driven architectures, and messaging and queuing systems.
• Develop and improve observability and monitoring capabilities to ensure system reliability, scalability, and performance.
• Build AI-powered tools, Model Context Protocol (MCP) integrations, agents, and skills to support system operations, troubleshooting, monitoring, data analysis, and automation.
• Explore and apply agentic AI approaches to improve how engineers operate, examination, and interact with complex cloud and Big Data systems.
• Develop tools that enable AI agents to query system data, analyze operational information, and assist with day-to-day system management.
• Help stabilize, troubleshoot, and improve the performance of production systems.
• Improve and optimize development, testing, and operational automation.
• Collaborate closely with skilled developers, architects, and domain experts in an international environment.
• Gain hands-on experience with modern Cloud, Big Data, DevOps, and AI technologies while working on systems operating at significant scale.

Qualifications

What you bring:

• Currently pursuing a B.Sc. or M.Sc. in Computer Science, Software Engineering, Information Systems, or a related field, with an academic average of 80 or above from a recognized institution.
• At least 1.5 years remaining until graduation or currently pursuing a master’s degree.
• Solid programming skills and a solid knowledge of software engineering fundamentals.
• Experience with one or more programming languages, preferably Java, Go, Python, or JavaScript/TypeScript.
• Experience with Spring Boot is a strong advantage.
• Knowledge of cloud-native architectures, microservices, and distributed systems is a strong advantage.
• Knowledge or hands-on experience with Big Data, databases, data processing, or event-driven systems is an advantage.
• Knowledge of messaging and queuing systems is an advantage.
• Knowledge of Docker and Kubernetes is an advantage.
• Interest or experience in AI-assisted development, large language models (LLMs), agents, MCP, or AI-based automation is a strong advantage.
• Deep analytical and problem-solving skills, with attention to detail.
• A quick learner who can work individually and take ownership of tasks.
• Solid communication and teamwork skills.
• Fluent English and comfort working in an international, English-speaking environment.
• Availability to work at least 3 days per week — required.

Additional Information

Where you belong:

The FinOps team within BTP Metering and Reporting builds and operates a scalable, cloud-native platform that processes high volumes of events and logs to generate metrics and support SAP FinOps and Billing.

Using modern open-source technologies, we develop distributed systems and data processing pipelines that serve SAP and partner products, supporting use cases from log management and SLA metric calculations to metering and billing. We also explore AI-powered tools and automation to improve how we develop, monitor, and operate our platform.

You will collaborate with a diverse, global team of experienced developers, architects, and domain experts.

About SAP
With a global network of customers, partners, employees, and thought leaders, SAP helps the world run better and improves people’s lives.
As a leader in enterprise applications and business AI, SAP stands at the nexus of business and technology. For over 50 years, organizations have trusted SAP to bring out their best by uniting business-critical operations spanning finance, procurement, HR, supply chain, and customer experience.
 
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 complete your application, please send an email with your request to the Recruiting Operations Team: .
 
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 age, race, religion, national origin, ethnicity, gender (including pregnancy and childbirth), 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.