DevOps Engineer

About SAP

At SAP, 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, needing 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.

This is a hybrid role based out of SAP Vancouver office, working in-office with the team 3 days per week.

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.
• 3 to 5 years of experience in DevOps Engineering.
• Advanced coding skills in Python (preferred) or similar scripting language, with solid understanding of software engineering principles.
• Hands-on experience with DevOps toolchains and 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.

If you don’t have experience in all these areas, SAP will provide the resources and training you need to become a leader in cutting-edge AI technologies.

Meet Your Team

Join the multi-disciplinary CE3 (Cross Engineering, Experience & Excellence) unit within Channels & Cross Engineering in Corporate Processes & Information Technology (CPIT). We partner across CPIT to design and deliver enterprise-grade Agentic AI autonomous, goal-oriented agents that interpret intent, orchestrate multi-step workflows, and deliver outcomes with minimal human intervention.

We’re building a unified Agentic AI platform with reusable capabilities—contextual reasoning engines, safe-action frameworks, enterprise guardrails, and robust integration patterns—while emphasizing rapid experimentation, cross-team enablement, and ethical governance. Backed by SAP’s trusted data and domain expertise, our work accelerates automation, personalization, and measurable business value across CPIT.

Join us to shape the next wave of human–AI collaboration, improve workflows, and elevate user experience across SAP.

Key skills/competency

• CI/CD Pipeline Design
• MLOps Platforms
• Cloud Infrastructure Provisioning
• Container Orchestration
• Observability Frameworks
• Python Programming
• DevOps Toolchains
• AI/ML Deployment
• Security & Scalability
• Agile Methodologies