Note: The job is a remote job and is open to candidates in USA. NVIDIA is a leading tech company specializing in GPU cloud services, and they are seeking a Distinguished Site Reliability Engineer. The role involves designing, implementing, and supporting operational aspects of large scale Kubernetes clusters, ensuring high reliability and uptime of services while fostering a culture of continuous improvement and automation.

Responsibilities

• Lead, 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

Skills

• BS degree in Computer Science or a related technical field involving coding (e.g., physics or mathematics), or equivalent experience
• 16+ years of 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
• 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

• You will also be eligible for equity and benefits.

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