Senior DevOps Engineer

Posted An Hour Ago
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Santa Clara, CA, USA
In-Office
184K-357K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Lead DevOps initiatives for internal services by developing staging and production environments, improving CI/CD practices, supporting Kubernetes and cloud infrastructure, and collaborating with global software development and performance teams. Responsibilities include automation infrastructure, Linux administration, database performance tuning, containers, web services, and scalable storage. The role requires strong scripting, debugging, and programming skills in a dynamic, multi-project environment.
Summary Generated by Built In

NVIDIA is looking for senior DevOps Engineer to lead DevOps effort, increase availability, improve quality and reduce delivery time for internal services developed by multiple teams and used throughout the company worldwide. With your help, our supportive and friendly team will be able to focus on more exciting programming tasks, better serving needs of our customers through new and improved CI/CD processes. We work in a dynamic environment where multiple projects will be active at once and priorities may shift frequently.

We are looking for hardworking engineers who aren’t afraid of taking up new technologies, processes, and tools to make constant improvement on the automation infrastructure. The engineer will collaborate closely with our software developers as well as performance analysts to build and improve the world-class automation infrastructure.

What you’ll be doing:

  • Develop and support staging and production environments for multiple internal services.

  • Coordinate with various teams across the globe to promote and improve CI/CD practices.

  • Help to build services using on premise Kubernetes and commercial clouds.

  • You will be working in a team with great flexibility in your technical decisions.

What we need to see:

  • Bachelor of Science in Computer Engineering, Computer Science or related technical discipline (or equivalent experience)

  • 8+ years of experience

  • Excellent programming and debugging skills in scripting languages

  • Proven Linux system administration experience (CentOS and Ubuntu strongly preferred)

  • Good knowledge of CI/CD pipelines and tools (GitLab or similar)

  • Database administration and performance tuning experience

  • Experience with Containers (Docker, Kubernetes), Web Services (SOAP/REST) and Scalable Storage(HDFS/Ceph)

Ways to stand out from the crowd:

  • You have expertise in Python programming

  • Familiarity with Windows system administration is a huge advantage

  • You have worked with cloud services (AWS, Azure and others)

We are widely considered to be one of the technology world’s most desirable employers. We have some of the most hard-working and dedicated people in the world working for us. If you're creative and autonomous with a real passion for technology we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 16, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.

Skills Required

  • Bachelor of Science in Computer Engineering, Computer Science, or a related technical discipline, or equivalent experience
  • 8+ years of professional experience
  • Excellent programming and debugging skills in scripting languages
  • Proven Linux system administration experience, preferably with CentOS and Ubuntu
  • Knowledge of CI/CD pipelines and tools such as GitLab
  • Database administration and performance tuning experience
  • Experience with containers, including Docker and Kubernetes
  • Experience with SOAP and REST web services
  • Experience with scalable storage technologies, including HDFS or Ceph
  • Expertise in Python programming
  • Familiarity with Windows system administration
  • Experience with cloud services such as AWS or Azure

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

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The Company
HQ: Santa Clara, CA
21,960 Employees
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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