DevOps Engineer in Hyperspace Data and Intelligence 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

We are looking for a DevOps/MLOps Engineer who can design, automate, and optimize the delivery of enterprise-grade AI systems across SAP. You will enable scalable and secure AI deployment by building state of the art CI/CD pipelines, cloud infrastructure and observability frameworks. The ideal candidate combines software engineering depth with a passion for automation operational excellence.

In this role, you will work closely with AI Product Owners, AI engineers, data scientists and architects to streamline the deployment and operations of AI and generative AI services and solutions. You’ll develop and maintain CI/CD pipelines, monitoring systems and cloud based environments that ensure reliability, security and scalability. You’ll play a central role in SAP’s AI delivery, enabling faster experimentation, delivery, compliant deployment and efficient operations across products. You’ll thrive in an agile, collaborative environment that values continuous learning, engineering excellence and innovation, helping shape the next generation of enterprise AI solutions at SAP.

Responsibilities

• Design, implement and maintain CI/CD pipelines for AI and ML workloads
• Develop and automate infrastructure provisioning across multi-cloud environments (e.g., Azure, AWS, GCP)
• Manage container orchestration and monitoring using tools like Docker, Kubernetes and MLFlow
• Build and maintain observability frameworks for model and service monitoring, logging and alerting.
• Ensure reliability, scalability and security of AI systems in production
• Collaborate with AI engineers and product teams to automate model training, deployment and versioning
• Contribute to MLOps best practices, including testing, rollback strategies, and compliance with governance standards.

What you bring

• Degree in computer science or a similar field
• Advanced coding skills in Python (preferred) or similar scripting language, with solid understanding of software engineering principles
• Hands-on experience with DevOps toolchains MLOps platforms (e.g., GitHub Actions, Jenkins, Terraform, Ansible, MLFlow, Kubernetes)
• Experience with cloud platforms (e.g., Azure, AWS, GCP) for AI/ML deployment
• Fluent English and a proactive, problem solving mindset

Nice to have but not a must

• Familiarity with multi-agent or generative AI frameworks (e.g., LangChain, CrewAI)
• Familiarity with SAP AI Core, SAP BTP
• Familiarity with agile frameworks (e.g., Scrum, SAFe) and project management tools (e.g., Jira)
• Understanding of Agile, SAFe methodologies and collaborative engineering practices

These skills are a plus. If you don’t have experience in all these areas, we’ll provide the resources and training you need to become a leader in cutting-edge AI technologies.

Where you belong

As part of the Hyperspace AI Accelerators team, you will help build next‑generation agentic AI solutions and bring AI into engineering roles across SAP. We create scalable, reliable platforms and frameworks—covering AI‑agentic capabilities, MCP servers, and the systems connecting them—to enhance developer productivity and modernize engineering workflows.

We work where innovation meets practicality, delivering forward‑looking yet maintainable solutions. Collaboration is central: we partner closely with teams and stakeholders, value open communication, and continuously learn.

Your work will directly shape how engineering teams build software—from AI‑assisted development to ensuring MCP data availability and driving adoption.

We’re looking for curious, thoughtful engineers who enjoy solving complex problems and building impactful systems.

#SAPAgenticAICareers

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: 439723  | Work Area: Software-Development Operations  | Expected Travel: 0 - 10%  | Career Status: Professional  | Employment Type: Regular Full Time   | Additional Locations:  #LI-Hybrid