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At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from.

Summary & Role Information

As a DevOps Engineer for the Service & Support Data Lake , you will play an instrumental role within the team accountable for designing, configuring, and innovating our platform infrastructure. This platform is a major driver where the Data Lake team conceptualizes the future of customer support using advanced AI Services and Large Language Models. By partnering with the Data Lake community, you will operate a cutting-edge platform, maintain its overall health, and optimize deployment and operation processes to facilitate efficient support for compute-intensive AI workloads.

What You'll Do

• Construct and manage all aspects of our AI development infrastructure, ensuring it is accurately designed for building, testing, and deploying artificial intelligence services and large language models.

• Collaborate with AI developers to optimize AI operations and coordinate efficient deployment of machine learning/large language models.

• Enforce DevOps best practices, ensuring security, scalability, and high-performance of the infrastructure.

• Collaborate on a cross-functional level to identify process inefficiencies and implement optimized solutions.

• Foster a culture of continuous improvement through mentoring, feedback, and detailed root cause analysis.

• Support daily operations in the EMEA time zone

What You'll Bring

• Bachelor's degree in Computer Science, Software Engineering, Computational Linguistics or a related field, or equivalent work experience.

• Proficient in containers technology (Docker, Kubernetes), and CI/CD tools (Jenkins).

• Strong understanding of Machine Learning models deployment, and experience working with AI frameworks, such as TensorFlow or PyTorch.

• Excellent problem-solving abilities, with an analytic and qualitative eye for problem solving within an infrastructure environment.

• Strong interpersonal and communication skills to effectively convey complex technical concepts and collaborate with diverse teams.

• It is beneficial if you are proficient in both English and German languages

Meet your team

The Service & Support Data Lake community consists of a team of over 150 experts in the role of program management, infrastructure DevOps engineers, data scientist, developer, and product owners. Together we drive innovation everyday to conceptualize and reinvent customer support.

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 and more equitable world.

SAP is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to the values of Equal Employment Opportunity and provide 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. (https://one.int.sap/me@sap/jobs_at_sap#17498858-1050-415e-8d82-21f91655666b_96fc) Specific conditions may apply for roles in Vocational Training.

Requisition ID: 398327 | Work Area: Software-Development Operations | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid