Senior Site Reliability Engineer

NVIDIA is looking for a passionate member to join our DGX Cloud Engineering Team as a Sr. Site Reliability Engineer. In this role, you will play a significant part in helping to craft and guide the future of AI & GPUs in the Cloud. NVIDIA DGX Cloud is a cloud platform tailored for AI tasks, enabling organizations to transition AI projects from development to deployment in the age of intelligent AI. Are you passionate about cloud software development and strive for quality? Do you pride yourself in building cloud-scale software systems? If so, join our team at NVIDIA, where we are dedicated to delivering GPU-powered services around the world!

What you'll be doing:

You will play a crucial role in ensuring the success of the Omniverse on DGX Cloud platform by helping to build our deployment infrastructure processes, creating world-class SRE measurement and creating automation tools to improve efficiency of operations, and maintaining a high standard of perfection in service operability and reliability.

• Design, build, and implement scalable cloud-based systems for PaaS/IaaS.
• Work closely with other teams on new products or features/improvements of existing products.
• Develop, maintain and improve cloud deployment of our software.
• Participate in the triage & resolution of complex infra-related issues
• Collaborate with developers, QA and Product teams to establish, refine and streamline our software release process, software observability to ensure service operability, reliability, availability.
• Maintain services once live by measuring and monitoring availability, latency, and overall system health using metrics, logs, and traces
• Develop, maintain and improve automation tools that can help improve efficiency of SRE operations
• Practice balanced incident response and blameless postmortems
• Be part of an on-call rotation to support production systems

What we need to see:

• BS or MS in Computer Science or equivalent program from an accredited University/College.
• 8+ years of hands-on software engineering or equivalent experience.
• Demonstrate understanding of cloud design in the areas of virtualization and global infrastructure, distributed systems, and security.
• Expertise in Kubernetes (K8s) & KubeVirt and building RESTful web services.
• Understanding of building AI Agentic solutions preferably Nvidia open source AI solutions. Demonstrate working experiences in SRE principles like metrics emission for observability, monitoring, alerting using logs, traces and metrics
• Hands on experience working with Docker, Containers and Infrastructure as a Code like terraform deployment CI/CD.
• Exhibit knowledge in concepts of working with CSPs, for example: AWS (Fargate, EC2, IAM, ECR, EKS, Route53 etc...), Azure etc.

Ways to stand out from the crowd:

• Expertise in technologies such as Stack-storm, OpenStack, Redhat OpenShift, AI DBs like Milvus.
• A track record of solving complex problems with elegant solutions.
• Prior experience with Go & Python, React.
• Demonstrate delivery of complex projects in previous roles.
• Showcase ability in developing Frontend application with concepts of SSA, RBAC