Senior Engineer, DevOps Platform - Cloud Software

NVIDIA • Santa Clara, CA

2d

About The Position

NVIDIA is widely considered to be one of the technology world’s most desirable employers, NVIDIA leads the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing (HPC) and Visualization. DGX Cloud provides a serverless generative AI infrastructure to the world enabling NVIDIA’s AI supercomputer technologies to be used by anyone. DGX Cloud engineering has a mission to ensure our customers receive timely and quality-assured releases. We are seeking a DevOps Engineer proficient in development infrastructure and tools, with hands-on experience in continuous integration, continuous deployment, testing frameworks, and Kubernetes (K8s) based cluster automation technologies. If you excel in problem-solving, can think creatively on your feet, and enjoy working in a distributed team setting, we would love to have you join us!

Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field (or equivalent experience)
• 5+ years of experience in developing devops tooling with a profound passion for automation
• Solid background in modern source control platforms (GitHub/GitLab)
• Strong experience in modern CI/CD technologies (Gitlab/testing frameworks/ArgoCD)
• Proficient in container-based infrastructure (Docker, Kubernetes, Helm)
• Comprehensive experience with Linux distributions (Ubuntu)
• Solid background in scripting languages (Bash, Python)
• Working background in higher level languages (golang)
• Excellent written and verbal communication skills

Nice To Haves

• Experience in scaling devops practices across cross-functional teams
• Demonstrated ability to handle sophisticated technical environments while meeting or exceeding all security, reliability, scalability, and availability metrics
• Strong and confirmed knowledge of modern architectures at scale

Responsibilities

• Provide both development and operational tooling critical to DGX Cloud services
• Implement and operate services used by engineering, including first-level on-call / support
• Assist engineering by maintaining a well optimized & supported paved road SDLC, which includes working across engineering, testing and SRE to ensure tool alignment
• Ensure coverage of testing from unit testing to CI to smoke-testing to full end to end testing
• Provide developer environments that are easily updated with a low barrier to entry
• Develop and maintain continuous integration pipeline templates and testing frameworks
• Provide and operate continuous testing end-to-end integration environments
• Automate deployment, config, and management of Kubernetes (K8s) components

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees