Senior Site Reliability Engineer - DGX Cloud

$148,000 - $276,000/Yr

Nvidia - Santa Clara, CA

Full-time - Senior

Santa Clara, CA

Computer and Electronic Product Manufacturing

About the position

The Senior Site Reliability Engineer (SRE) at NVIDIA is responsible for designing, building, and maintaining large-scale production systems with a focus on high efficiency and availability. This role involves utilizing software and systems engineering practices to ensure maximum reliability and uptime of GPU cloud services, while enabling developers to implement changes through careful planning. The SRE position emphasizes automation, performance tuning, and the optimization of production systems, fostering a culture of diversity, intellectual curiosity, and problem-solving.

Responsibilities

• Design, implement and support operational and reliability aspects of large scale Kubernetes clusters with focus on performance at scale, real time monitoring, logging and alerting.
• Engage in and improve the whole lifecycle of services—from inception and design through deployment, operation and refinement.
• Support services before they go live through activities such as system design consulting, developing software tools, platforms and frameworks, capacity management and launch reviews.
• Maintain services once they are live by measuring and monitoring availability, latency and overall system health.
• Scale systems sustainably through mechanisms like automation, and evolve systems by pushing for changes that improve reliability and velocity.
• Practice sustainable incident response and blameless postmortems.
• Be part of an on call rotation to support production systems.

Requirements

• BS degree in Computer Science or a related technical field involving coding (e.g., physics or mathematics), or equivalent experience.
• 5+ years of experience.
• Experience with Infrastructure automation, distributed systems design, experience with design, develop tools for running large scale private or public cloud system in Production.
• Experience in one or more of the following: Python, Go, Perl or Ruby.
• In depth knowledge on Linux, Networking and Containers.

Nice-to-haves

• Interest in crafting, analyzing and fixing large-scale distributed systems.
• Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive.
• Ability to debug and optimize code and automate routine tasks.
• Experience in using or running large private and public cloud systems based on Kubernetes, OpenStack and Docker.

Benefits

• Equity and benefits eligibility.