Senior Site Reliability Engineer

Posted 4 Days Ago
Be an Early Applicant
4 Locations
Expert/Leader
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
As a Senior Site Reliability Engineer, you will own solutions, collaborate with cross-functional teams, improve service resiliency, and ensure high availability in a multi-cloud hybrid environment. Responsibilities include capacity management, incident reviews, and maintaining quality of service through automation and observability.
Summary Generated by Built In

Join our team in Santa Clara, CA, USA as a Senior Site Reliability 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.

  • Identify areas to improve service resiliency using industry-standard practices.

  • 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.

  • Ensure the highest level of uptime and Quality of Service (QoS) for internal customers through operational excellence.

  • 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) with over 10 years in building and supporting critical services.

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

  • Deep understanding of Linux operating systems and TCP/IP fundamentals.

  • 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.

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

  • 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.

  • Well-known Cloud Certification(s).

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

The base salary range is 168,000 USD - 322,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Top Skills

Go
Groovy
Python
Ruby
The Company
HQ: Santa Clara, CA
21,960 Employees
On-site Workplace
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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