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Backend Developer Engineer

SAP

Backend Developer Engineer

SAP

·

On-site

·

Full-time

·

2w ago

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.

Global Cloud Infrastructure & Delivery (GCID) develops and delivers services for cloud infrastructure and cloud operations to SAP Lines of Business (LoB) and through them, our external customers. We support Lo Bs and their customers' cloud adoption journey through four hyperscaler public clouds and SAP's Infrastructure-as-a-Service.

Cloud Observability (CO) is the foundation for cloud operations. It delivers critical capabilities for infrastructure and application operation, security management by providing a fully integrated end-to-end observability product across our different Line of Business.

About the Role:

We are looking for a Backend Developer Engineer with solid development fundamentals and production experience building and operating backend services in cloud environments. This role is ideal for an engineer who has worked with Python-based applications, is comfortable with DevOps and CI/CD practices, and is interested in growing into AI and agent-based systems over time.

You will join a global, multidisciplinary engineering team responsible for developing and operating cloud observability services used across SAP’s global infrastructure. While AI and automation are part of our roadmap, this role does not require deep AI expertise on day one. Instead, we are looking for engineers who are curious, adaptable, and motivated to upskill in AI-related technologies as part of their growth.

What You’ll Do:

  • Design, develop, and operate backend services primarily in Python, supporting observability platforms for cloud infrastructure and applications.

  • Build and maintain REST APIs using frameworks such as FastAPI or Flask.

  • Own services end to end, including development, deployment, monitoring, and operational support.

  • Contribute to CI/CD pipelines, automated testing, and release processes to ensure reliable and repeatable deployments.

  • Work with containerized workloads using Docker and Kubernetes in public cloud environments (AWS, Azure, GCP).

  • Analyze operational data such as metrics, logs, and alerts to improve service reliability and reduce operational noise.

  • Collaborate closely with engineers and product managers in an Agile (Scrum) environment.

  • Participate in a global on-call rotation following a “follow-the-sun” model.

  • Gradually contribute to and learn about AI-driven and agent-based capabilities used to improve observability and operational efficiency.

What You Bring:

Core Engineering Experience:

  • 3+ years of professional software development experience, with a strong focus on backend systems.

  • Solid experience building and maintaining Python-based applications in production environments.

  • Solid understanding of RESTful API design and backend frameworks (FastAPI, Flask, or similar).

  • Experience working in cloud-native environments, including Docker, Kubernetes, and at least one major cloud provider (AWS, Azure, or GCP).

  • Solid grasp of CI/CD concepts and pipelines, including version control (GitHub), configuration formats (JSON, YAML), and automated testing.

  • Familiarity with monitoring, logging, and performance management tools.

AI Interest

  • Basic knowledge or personal exposure to AI/ML or Generative AI concepts, or a strong interest in learning.

  • Curiosity about how AI and automation can be applied to observability, operations, and incident reduction.

  • Willingness to upskill in areas such as agent-based systems, ML-assisted analytics, or LLM-driven tooling as part of the role.

Professional Skills:

  • Strong analytical and problem-solving mindset.

  • Ability to work in effective collaboration within a global team.

  • Clear written and verbal communication skills in English.

  • Self-driven, pragmatic, and comfortable working in complex production environments.

Education:

Bachelor’s degree or equivalent experience in Computer Science, Software Engineering, or related field.

Nice to Have:

  • Experience with observability tools such as Elasticsearch, Open Search, Splunk, or similar.

  • Exposure to infrastructure-as-code or automation tools (Terraform, Helm, Ansible).

  • Familiarity with large-scale cloud or enterprise infrastructure environments.

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: 450771 | Work Area: Software-Development Operations | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations:

총 조회수

0

총 지원 클릭 수

0

모의 지원자 수

0

스크랩

0

SAP 소개

SAP

SAP

Public

The best-run businesses run SAP.

10,001+

직원 수

Walldorf

본사 위치

$157B

기업 가치

리뷰

3.9

10개 리뷰

워라밸

3.2

보상

3.5

문화

4.1

커리어

3.4

경영진

3.3

72%

친구에게 추천

장점

Good benefits and retirement plans

Training and development opportunities

Supportive team collaboration

단점

Work-life balance challenges

High workload and stress during peak times

Limited career advancement opportunities

연봉 정보

2개 데이터

L3

L4

L5

Intern

L3 ·

0개 리포트

-

총 연봉

기본급

-

주식

-

보너스

-

면접 경험

5개 면접

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