Senior DevOps Engineer, GeForce NOW

Posted Yesterday
Be an Early Applicant
2 Locations
In-Office
148K-236K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
This role involves maintaining and optimizing infrastructure, enhancing CI/CD processes, improving observability, and collaborating with engineering teams.
Summary Generated by Built In

NVIDIA is looking for a highly qualified and ambitious Senior DevOps Engineer to become a member of the GeForce NOW R&D Team. In this role, you will take ownership of maintaining and optimising our infrastructure, supporting and improving current CI/CD processes, involved in the processes of developing and improving observability across content-related services.

What you'll be doing:

  • Develop and maintain CI/CD pipelines to automate the build, test, and deployment processes, and improve performance by addressing bottlenecks. Managing tools and enabling automations for redundant manual workflows via Gitlab, Jenkins, Terraform, etc

  • Improve monitoring and observability mechanisms in all aspects of content services

  • Optimise infrastructure for performance, reliability, and cost efficiency

  • Collaborate with software engineering teams to streamline deployment processes and reduce operational overhead

  • Participate in the on-call rotation and identify and resolve content-related service issues to ensure our systems operate flawlessly.

What we need to see:

  • Bachelor's/Master's degree in Computer Science, Engineering, or equivalent experience

  • 5+ years of proven experience in DevOps, Site Reliability Engineering, or related infrastructure roles

  • Hands-on experience with IaC tools (Terraform, CloudFormation, Ansible)

  • Solid understanding of Kubernetes, AWS and ELK stack

  • Administrator-level knowledge of both Linux and Windows systems

  • Proven Python programming skills, including debugging, performance analysis, and test design

  • Good social skills, effective verbal and written communication

  • Intermediate/upper-intermediate technical English.

  • Experience working in distributed international teams

  • Self-motivation, engagement, openness, integrity, ability to learn and develop

Ways to stand out from the crowd:

  • Experience with Java will be a big plus

  • Practical experience working with GitLab CI/CD or Jenkins

  • Background in software development with a strong understanding of application architecture and deployment patterns

  • Familiarity with security procedures and compliance requirements in cloud environments

  • If you like to deal with non-standard engineering and infrastructure challenges

With a competitive salary package and benefits, 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.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until February 10, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

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

Ansible
AWS
CloudFormation
Elk Stack
Gitlab
Java
Jenkins
Kubernetes
Python
Terraform
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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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