We are now looking for a Senior DevOps Engineer!
For more than 25 years, NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing. Our work in accelerated computing and AI brings together outstanding technology and talented people. As an NVIDIAN, you’ll join a diverse, encouraging environment where everyone is inspired to do their best work.
NVIDIA is looking for a Senior DevOps Engineer to build, maintain, and improve the pipelines, automation, and infrastructure that support software delivery. As a dedicated member of the DevOps team, you will contribute to the team’s projects and roadmap, improve build and deployment reliability, and collaborate with SRE and development teams globally. This role provides primary DevOps support during India business hours, with clear handoffs to US-based teams.
What you will be doing:
- Participate as a dedicated member of the DevOps team, contributing to scrums, planning sessions, team meetings, and delivery of the team’s projects and roadmap.
- Build, maintain, and improve CI/CD pipelines, build and release automation, and deployment workflows.
- Serve as the primary point of contact for DevOps issues during India business hours, triaging and resolving pipeline and workflow failures.
- Collaborate with SRE and development teams across time zones, ensuring clear communication and effective handoffs to US-based teams.
- Automate manual processes and improve the reliability, speed, and visibility of build and deployment systems.
- Develop and maintain documentation, runbooks, and troubleshooting guides for DevOps workflows.
- Contribute to tooling, infrastructure as code, and configuration management for DevOps platforms.
- Manage and maintain data center infrastructure using tools such as NetBox and Foreman, along with Mellanox switches.
- Improve codebase and platform security through software hardening and secure credential management.
What we need to see:
- Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent experience.
- 8 + years of hands-on experience in DevOps, build and release engineering, or a similar role.
- Strong experience with CI/CD systems such as Jenkins, GitLab CI, or equivalent platforms.
- Strong experience working on any of the public clouds (AWS, GCP, Azure)
- Proficiency in scripting and automation using Python and Bash.
- Experience with source control tools and workflows using Git, GitLab, Perforce, and Gerrit.
- Experience with infrastructure as code and configuration management tools such as Ansible, Terraform, and Packer.
- Experience with orchestration and automation platforms such as StackStorm, Argo CD, or Flux CD.
- Working knowledge of Docker and Kubernetes.
- Strong Linux fundamentals and skills in solving issues.
- Strong understanding of production release cycles, pipeline testing, and software quality practices.
- Strong communication skills and the ability to collaborate effectively with distributed teams across time zones.
Ways to stand out from the crowd:
- Experience developing automation and tooling in Go.
- Demonstrated success improving CI/CD reliability, reducing build and deployment times, and eliminating manual work.
- Hands-on experience with NetBox, Foreman, and Mellanox switches in data center environments.
- Experience implementing software hardening and secure credential management.
- A track record of creating clear runbooks and improving operational handoffs across global teams.
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.
Skills Required
- Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent experience
- 8+ years of hands-on experience in DevOps, build and release engineering, or a similar role
- Strong experience with CI/CD systems such as Jenkins, GitLab CI, or equivalent platforms
- Strong experience with at least one public cloud: AWS, GCP, or Azure
- Proficiency in Python and Bash scripting and automation
- Experience with Git, GitLab, Perforce, and Gerrit source control workflows
- Experience with infrastructure as code and configuration management tools such as Ansible, Terraform, and Packer
- Experience with StackStorm, Argo CD, Flux CD, or similar orchestration and automation platforms
- Working knowledge of Docker and Kubernetes
- Strong Linux fundamentals and troubleshooting skills
- Strong understanding of production release cycles, pipeline testing, and software quality practices
- Strong communication and collaboration skills with distributed teams across time zones
- Experience developing automation and tooling in Go
- Experience improving CI/CD reliability, reducing build and deployment times, and eliminating manual work
- Hands-on experience with NetBox, Foreman, and Mellanox switches in data center environments
- Experience implementing software hardening and secure credential management
- Experience creating runbooks and improving operational handoffs across global teams
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.
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Equity Value & Accessibility — Feedback suggests equity grants, stock options/RSUs, and a discounted ESPP materially boost total compensation and can deliver significant wealth-building when the stock performs well.
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Healthcare Strength — Feedback suggests medical, dental, and vision plans with in-network preventive care at 100%, telehealth, and concierge-style support are comprehensive and valued.
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Parental & Family Support — Feedback suggests up to 22 weeks fully paid parental leave, fertility coverage, and adoption/surrogacy reimbursement provide strong family-focused benefits.
NVIDIA Insights
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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