MLOps Platform Engineering Expert

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. 

MLOps Platform Engineering Expert

Job Responsibilities:

• Cooperate with developers and infrastructure teams to ensure highly available and scalable production systems.
• Build and maintain highly available and scalable production systems with a focused on optimizing ML platforms and services.
• Manage core production systems, including frequent changes and updates.
• Monitor, troubleshoot, and rapidly resolve issues in production ML systems.
• Implement and manage continuous training pipelines for automated model retraining and deployment.
• Establish best practices for MLOps, including model versioning, experiment tracking, and deployment strategies.
• Provide support during off hours (nights and weekends) when necessary.

Required qualifications:

• 5+ years of MLOps experience in production cloud-native environments.
• Proficient verbal and written communication in English.
• Proven expertise in cloud-native ML platforms (e.g., Azure ML, AWS SageMaker) to architect and manage automated continuous training and deployment pipelines."
• Experience with model versioning and experiment tracking tools (MLflow, etc.).
• Optimizing GPU utilization, including long-term capacity management.
• Hands-on experience with Databricks, including Unity Catalog for data governance, access control, and metadata management.
• Knowledge of data lake and data warehouse principles.
• Proven experience with Kubernetes for deploying, managing, and scaling containerized ML applications.
• Strong understanding of containerization technologies such as Docker.
• Experience building Infrastructure as Code using Terraform or similar tools.
• Working knowledge of monitoring, logging, and metrics collection tools in high-scale production environments (Prometheus, Grafana, CloudWatch, Langfuse, OpenTelemetry, etc.).
• Familiarity with CI/CD pipelines and tools like GitHub Actions, Jenkins and ArgoCD.
• Programming experience with Python and Bash scripting.
• Experience with event streaming technologies like Apache Kafka, Azure EventHub or similar distributed streaming platform.
• Strong knowledge of cloud networks and Kubernetes networks (VPC, load balancers, ingress controllers, service meshes).
• Hands-on experience with managing and configuring MySQL and PostgreSQL databases in high availability environments.

Preferred:

• Experience with multiple cloud providers (AWS, Azure, GCP) and their ML services.
• Experience with AWS cloud services, particularly AWS SageMaker for ML model training, deployment, and management.
• Understanding of data privacy, security, and compliance requirements in ML systems.
• Experience with service mesh technologies like Istio.
• Knowledge of policy engines like Kyverno or OPA for Kubernetes governance.
• Intelligent, curious, and passionate about learning and exploring new technologies.
• Willing and able to meet challenges head-on, solve problems independently, and drive initiatives forward.
• Open-minded, flexible, and thrive in a highly dynamic, fast-paced, ever-changing environment.

Meet your team:
Our DevOps group is a dynamic and innovative team dedicated to working on cutting-edge data and AI technologies. We focus on building robust and scalable infrastructure to support various AI-driven projects and machine learning workflows. With highly motivated and skilled engineers across multiple global locations including Israel, Germany, Hungary, India, and Canada, collaboration and continuous improvement are at the core of our work culture. We are excited to welcome a new member who can contribute to our mission of delivering world-class ML infrastructure and help us achieve greater heights.

#SAPAICareers #SAPAIAPP

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: View email address on jobs.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.

SAP believes the value of pay transparency contributes towards an honest and supportive culture and is a significant step toward demonstrating SAP’s commitment to pay equity. SAP provides the annualized compensation range inclusive of base salary and variable incentive target for the career level applicable to the posted role. The targeted combined range for this position is 144600-322500CAD . The actual amount to be offered to the successful candidate will be within that range, dependent upon the key aspects of each case which may include education, skills, experience, scope of the role, location, etc. as determined through the selection process. Any SAP variable incentive includes a targeted dollar amount, and any actual payout amount is dependent on company and personal performance. A summary of benefits and eligibility requirements can be found by clicking this link:  

Due to the nature of the role, which involves global interactions with SAP entities, as well as with employees and stakeholders in Canada, functional proficiency in English is required for positions based in the Quebec.

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: 450466  | Work Area: Software-Development Operations  | Expected Travel: 0 - 10%  | Career Status: Professional  | Employment Type: Regular Full Time   | Additional Locations:  #LI-Hybrid

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