NVIDIA

Senior Site Reliability Engineer, DGX Cloud

NVIDIA

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Salary

💰 $168,000 - $333,500 per year

Job Level

Senior

Tech Stack

CloudDistributed SystemsDockerGoKubernetesLinuxOpen SourceOpenStackPerlPythonRuby

About the role

  • Site Reliability Engineering (SRE) at NVIDIA is an engineering discipline to design, build and maintain large scale production systems with high efficiency and availability using the combination of software and systems engineering practices. SRE at NVIDIA ensures that our internal and external facing GPU cloud services run maximum reliability and uptime as promised to the users and at the same time enabling developers to make changes to the existing system through careful preparation and planning while keeping an eye on capacity, latency and performance. 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. 10+ 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