
The best-run businesses run SAP.
Senior Developer - GenAI CI/CD Tooling
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 do
Join a hands‑on engineering team building agentic, GenAI‑powered CI/CD tools that help SAP HANA Cloud engineers ship faster and safer—from commit to production.
- Design, build, and operate AI‑assisted CI/CD tooling—from prototype to production—to boost release speed and confidence.
- Implement and optimize pipelines and automations (GitHub Actions, Jenkins, Azure DevOps) with reliability, scalability, and security in mind.
- Add telemetry, guardrails, and evaluation frameworks to track agent accuracy, performance, and robustness.
- Contribute through code reviews, clear documentation, and technical leadership across teams.
- Partner with database engineers and stakeholders to gather requirements, prioritize work, and measure impact.
- Stay current on GenAI, agentic patterns, and CI/CD best practices, and share learnings with the team.
What you bring
- University degree in computer science or a related field.
- 5+ years of professional software engineering experience.
- Strong Python proficiency and solid engineering fundamentals (design, version control, testing, code reviews).
- Proficiency with CI/CD platforms (GitHub Actions, Jenkins, Azure DevOps) and experience designing and tuning pipelines.
- Experience with cloud infrastructure and containers (Docker, Kubernetes, Linux).
- Exposure to GenAI/LLMs and agentic system patterns; understanding of prompt/context engineering and MCP servers; ability to learn new tech quickly.
- Strong problem‑solving and communication skills; fluency in English.
Nice to have
- Experience with coding agents (e.g., Claude Code, Cline), including skills, workflows, and multi‑agent orchestration.
- Understanding of QA and evaluation techniques for AI systems, including testing non‑deterministic outputs. Experience with end‑to‑end ML lifecycle platforms (e.g., MLflow).
Meet your team
Join a collaborative, international team applying AI to real engineering problems. We value curiosity, experimentation, and continuous learning, with flexible hybrid work. You’ll shape ideas end‑to‑end and grow across AI engineering and DevOps.
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: 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 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: 451381 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #
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SAP 소개

SAP
PublicThe best-run businesses run SAP.
10,001+
직원 수
Walldorf
본사 위치
$157B
기업 가치
리뷰
10개 리뷰
3.8
10개 리뷰
워라밸
3.2
보상
3.5
문화
4.1
커리어
3.4
경영진
3.6
65%
지인 추천률
장점
Flexible hours and remote work options
Supportive management and team collaboration
Good benefits and training programs
단점
Work-life balance challenges and overwhelming workload
Fast-paced environment with unrealistic deadlines
Limited career advancement opportunities
연봉 정보
2개 데이터
Intern
L3
L4
L5
Intern · Data Scientist
0개 리포트
$68,766
총 연봉
기본급
-
주식
-
보너스
-
$58,453
$79,079
면접 후기
후기 5개
난이도
4.0
/ 5
소요 기간
14-28주
경험
긍정 0%
보통 40%
부정 60%
면접 과정
1
Application Review
2
HR/Recruiter Screen
3
Phone/Technical Screen
4
Hiring Manager Interview
5
Onsite/Panel Interview
6
Technical Assessment
자주 나오는 질문
Technical Knowledge
Coding/Algorithm
Behavioral/STAR
Past Experience
SAP-Specific Technical Skills
최근 소식
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