Senior Devops Engineer

Run:ai, now part of NVIDIA, has evolved AI infrastructure by merging GPU virtualization with Kubernetes-native capabilities. Our world class AI platform allows organizations to improve productivity and efficiency for data scientists and machine learning engineers. With deep Kubernetes expertise and a focus on innovation, we are dedicated to developing groundbreaking technologies. We deliver the best user experience for our customers and provide detailed access to workload performance through rich metrics. These metrics help users optimize their AI workloads. We are looking for highly skilled Devops engineers to join our Infrastructure Group and help shape the future of AI infrastructure.

What You'll Be Doing

• Take full end-to-end ownership of our cloud infrastructure, spanning development environments to production systems across various cloud platforms.
• Compose, build, and develop the architecture of Run:AI cloud-native products for a variety of complex customer environments, including on-premise, and cloud
• Identify and fix production issues while addressing performance challenges to ensure our systems operate flawlessly.
• Collaborate closely with cross-functional groups to provide architectural and infrastructure input that builds product direction and composition.
• Partner with R&D, Customer Success, Professional Services, and Pre-sales teams.
• Continuously evaluate and implement new tools and technologies to improve our release and product deployment processes.
  
  

What We Need To See

• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience.
• At least 5 years of direct experience working in a large-scale software development setting as a DevOps Engineer.
• Advanced knowledge of Kubernetes, supported by a minimum of 4 years of practical experience.
• Strong knowledge of Linux, networking, storage, and security.
• Extensive experience with cloud platforms such as AWS, GCP, Azure, or OCI (at least one is required).
• Proven track record managing production environments, including monitoring and logging solutions.
• Excellent Bash/Shell scripting skills, along with experience scripting in Python or Go.
• Strong software engineering capabilities in backend systems and databases.
  
  

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

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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