Senior DevOps Engineer, NSV

Reposted 5 Days Ago
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Tel Hai, ISR
In-Office
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Lead and operate OpenShift clusters, manage platform integrations, build and optimize GitLab CI/CD pipelines and runners, own Vault secrets, improve observability and incident response, and enable developers with deployment standards and troubleshooting.
Summary Generated by Built In

NVIDIA is looking for a Senior DevOps Engineer to join the NSV (Network Solutions Validation) group. NSV builds high-performing software automation for NVIDIA’s Data Center environments and helps drive the data growth of the world’s biggest companies. In this role, you will lead and support our delivery platform with a strong focus on OpenShift, GitLab CI/CD, and reliable production operations. You will partner with engineering teams to build secure and scalable deployment workflows, improve CI/CD speed and reliability, and raise the operational maturity of our platform.

What You’ll Be Doing:

  • Operate OpenShift clusters and support production deployments (upgrades, scaling, probes, autoscaling, rollouts).

  • Manage platform integrations: Routes/Ingress, networking/DNS, storage, scheduling.

  • Build and optimize GitLab CI/CD pipelines (build→test→deploy→promote; caching, parallelism, reliability).

  • Operate and tune GitLab Runners for performance and peak scale.

  • Own Vault secrets management for CI/CD and runtime (access + rotation).

  • Improve observability and incident response (dashboards, alerts, runbooks).

  • Enable developers with deployment standards, docs, and troubleshooting support.

What We Need to See:

  • Bachelor's degree in Computer Science or a related field, or equivalent experience.

  • 5+ years of experience in DevOps / SRE / Platform Engineering roles (or equivalent deep hands-on expertise).

  • Strong production experience with OpenShift administration and operations.

  • Proven experience building and maintaining GitLab CI/CD pipelines at scale across multiple services.

  • Real-world experience operating GitLab Runners (capacity, reliability, performance tuning).

  • Excellent Linux and troubleshooting skills (networking, processes, container runtime behavior).

  • Strong containerization expertise (Docker, image lifecycle, registries).

  • Hands-on experience with Vault for secrets management in pipelines and runtime environments.

  • Ability to work cross-functionally with developers and engineering managers to improve delivery standards and reliability.

Ways to Stand Out from the Crowd:

  • Experience with Helm and/or Kustomize for consistent deployments.

  • Exposure to GitOps workflows in general (without requiring Flux).

  • Experience operating in multi-environment setups (dev/staging/prod) with promotion flows.

  • Familiarity with performance optimization techniques across CI/CD and container platforms.

  • OpenShift/Kubernetes certification (e.g., Red Hat OpenShift certs, CKAD/CKA).

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! 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.

#LI-Hybrid

Skills Required

  • Bachelor's degree in Computer Science or related field, or equivalent experience
  • 5+ years of experience in DevOps / SRE / Platform Engineering or equivalent hands-on expertise
  • Production experience with OpenShift administration and operations
  • Proven experience building and maintaining GitLab CI/CD pipelines at scale
  • Experience operating and tuning GitLab Runners for performance and scale
  • Excellent Linux and troubleshooting skills (networking, processes, container runtime)
  • Strong containerization expertise (Docker, image lifecycle, registries)
  • Hands-on experience with Vault for secrets management in pipelines and runtime
  • Ability to work cross-functionally with developers and engineering managers
  • Experience with Helm and/or Kustomize for consistent deployments
  • Exposure to GitOps workflows
  • Experience operating multi-environment setups (dev/staging/prod) with promotion flows
  • Familiarity with performance optimization techniques across CI/CD and container platforms
  • OpenShift/Kubernetes certification (e.g., Red Hat certs, CKAD/CKA)

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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