NVIDIA is the platform upon which every new AI-powered application is built. We are looking for a Devops Engineer to join our mission to continue improving our CI/CD infrastructure. Our team builds and operates sophisticated infrastructure to enable business critical services. You will be working with a team of passionate and skilled engineers that are continuously working to provide better tools to build and manage this infrastructure. Ideal candidate is strong in software development, designing and creating reliable distributed systems, and has the ability to implement well thought out long term maintenance strategy.
What you'll be doing:
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Automation and Scripting: Develop and maintain scripts for automation of various tasks, including build, deployment, and monitoring.
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Build and implement CI/CD Management: Set up and manage continuous integration and continuous deployment (CI/CD) pipelines using tools like Bazel and Git.
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Infrastructure Management: Lead all aspects of the deployment, management, and scaling of applications using Docker and Kubernetes.
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System Administration: Perform system administration tasks on Linux servers, ensuring high availability and performance.
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Collaboration and Mentorship: Work closely with software engineers and QA engineers to ensure smooth deployment and operation of software. Mentor junior team members and provide guidance on industry standards.
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Monitoring and Solving: Resolve issues in development and testing environments.
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Security and Compliance: Implement and maintain security standards and compliance requirements in the DevOps processes.
What we need to see:
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Bachelor's or Master's degree in Computer Science, Engineering, or a related field or equivalent experience.
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Minimum of 5 years of experience in a DevOps role
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Strong knowledge of bash/shell and Python for scripting and automation.
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Expert knowledge in at least one distribution of Linux (Ubuntu, Centos, Amazon Linux, RHEL, Debian, etc.)
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Expertise in Linux system administration.
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Experience with Bazel and Terraform for build and CI/CD processes.
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Solid understanding of Git for version control and source code management.
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Proficiency with Docker for containerization and in Kubernetes for orchestration and management of containerized applications.
Ways to stand out from the crowd:
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Experience with other programming languages such as Go.
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Familiarity with cloud platforms AWS or Azure.
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Experience with monitoring stack LGTM and prometheus.
The base salary range is 144,000 USD - 270,250 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.
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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.”
