Join our team as a Senior Devops Engineer. At NVIDIA, you'll be part of the team shaping the future of computing and guaranteeing the smooth operation of our brand-new technologies. Our mission is to leverage AI's power to build outstanding and pioneering solutions that have a significant impact on the world.

What you'll be doing:

• Own the solutions you build, collaborating with cross-functional teams to successfully implement them.

• Collaborate with various teams in a fast-paced environment to ensure seamless project completion.

• Continuously improve solution provisioning and management through automation.

• Detect performance issues and recommend solutions to maintain world-class service quality.

• Conduct capacity management and planning to meet ongoing operational needs.

• Participate in incident reviews, assist in root cause identification, and write RCA reports.

• Deliver SRE solutions in a globally distributed, multi-cloud hybrid environment - AWS, GCP, and On-prem.

• Participate in the team's on-call rotation.

What we need to see:

• B.S. degree in Computer Science or related technical field (or equivalent experience)

• 8+ years in building and supporting critical services

• 5+ years of coding/scripting experience in at least two high-level programming languages such as Python, Go, Ruby, or Groovy.

• Proficiency in Kubernetes administration, modern CI/CD techniques and Infrastructure as Code (IaC).

• Full-stack AI experience with deep expertise in MCP ecosystems, Carpenter, n8n orchestration, and AI-assisted development via Cursor.

• Expertise with at least one major cloud service provider - AWS, GCP, Azure.

• Demonstrated proficiency with end-to-end SRE capabilities and observability.

• Proficient in monitoring, metrics gathering, APM, container management, and log collection tools.

• Creative problem solver with excellent debugging skills and great communication and documentation abilities.

Ways to stand out from the crowd:

• Linux certification from a well-known vendor - RedHat, Oracle, etc.

• Prior experience managing large-scale Kubernetes deployment in production.

• Strong skills in modern container networking and storage architecture.

• Hands-on background working with Flexlm and license management system.

• Hands-on experience working with Slurm/LSF environments.