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 well bring out the best in you. Were builders touching over 20 industries and 80% of global commerce and we need your unique talents to help shape whats next. The work is challenging but it matters. Youll find a place where you can be yourself prioritize your wellbeing and truly belong. Whats in it for you Constant learning skill growth great benefits and a team that wants you to grow and succeed.

What youllbuild

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. Youll develop and maintain CI/CD pipelines monitoring systems and cloud based environments that ensure reliability security and scalability. Youll play a central role in SAPs AI delivery enabling faster experimentation delivery compliant deployment and efficient operations across products. Youll 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 dont have experience in all these areas well provide the resources and training you need to become a leader in cutting-edge AI technologies.

Where you belong

Aspart of the Hyperspace AI Accelerators team you will help build nextgeneration agentic AI solutions and bring AI into engineering roles across SAP. We create scalable reliable platforms and frameworkscovering AIagentic capabilities MCP servers and the systems connecting themto enhance developer productivity and modernize engineering workflows.

We work where innovation meets practicality delivering forwardlooking 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 softwarefrom AIassisted development to ensuring MCP data availability and driving adoption.

Were 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
SAPs 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:

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