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. 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.
You'll design and deliver cloud-native features within SAP Logistics Management, using AI as a core method — not an occasional assistant — for building, reviewing, and operating software at scale. Your work will directly improve the reliability and intelligence of freight, warehousing, and supply chain processes for enterprise customers worldwide.
· Design, implement, and maintain cloud-native features in the SAP Logistics Management product using AI-augmented development methods and modern engineering practices
· Work with self-governing agent frameworks to investigate, prototype, and evaluate AI bots that reduce repetitive development and operational tasks
· Review and validate AI-generated code with a quality-first mindset — catching subtle defects, rational gaps, and security risks before they reach production
· Write precise, unambiguous requirements and acceptance criteria that enable high-quality AI-assisted implementation across the team
· Contribute to team-wide AI adoption by documenting findings, building reusable prompt patterns and skills, and sharing learnings proactively
· Participate in release decision processes, SAT testing, and quality engineering activities as a quality owner across the full delivery chain
· Support security remediation by interpreting OSC/SAST scan findings and spearheading resolution — including AI-assisted triage of security issues
· Collaborate across Germany, India, and China in an async-first, cross-cultural team model, externalizing knowledge in a form retrievable by teammates and AI tools alike
4 to 7 Years of Proficiency in at least one backend language (Java, TypeScript, Python, Go, or equivalent) with solid grip of clean code, SOLID principles, modularity, testability, and REST/OData API design
3+ years of professional software engineering experience in enterprise or cloud-native environments, with active daily use of AI coding tools (GitHub Copilot, Cursor, Joule, Claude Code, or equivalent)
Has the ability to create prompts. Develops clear and effective prompts for tasks such as code generation, refactoring, debugging, and documentation. Knows how to manage context windows and improve prompts through multiple iterations.
Test-first instinct: defines acceptance criteria and writes tests before or alongside AI-generated implementation; does not rely on QE gates as the primary defect detection mechanism
Experience with CI/CD pipelines, feature toggle management, automated test coverage, and code quality tooling
Familiarity with cloud platforms (BTP, AWS, Azure, or GCP) and containerized/microservice architectures
Strong written English; comfortable with async, cross-cultural collaboration across Germany, India, and China
Fluency in English is required. Experience with SAP BTP, SAP AI Core, or agent frameworks (LangChain, AutoGen, or similar) is a solid advantage.
You'll join SAP LGM, a global engineering team actively building AI agents and intelligent logistics applications. You'll work hands-on with agentic AI initiatives, serve as a quality multiplier for the team, and shape how AI-augmented development is practiced at scale. The team values written communication, clear thinking, and knowledge that is legible to both people and AI tools. If you take quality seriously, think in systems, and want to lead from the front on how enterprise software gets built with AI — this is the right place.
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: 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 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.
