Senior Software Engineer, Cloud Automation

NVIDIA Cloud platform engineering team delivers NVIDIA GPU Cloud services with extensive automation runs and operates 24x7. The team works on multi-OSes, multi-cloud platforms, and virtualization technologies, focusing on improving automation infrastructure through DevOps and cloud technologies.

• BS in Computer Science/Engineering/Math/Physics or equivalent experience
• 3+ years of proven experience
• Outstanding agentic AI experience with Codex, Claude code
• Proficient in scripting languages: Python, Bash, Groovy, GOLANG
• Outstanding debugging skills
• Preferable cloud experience with AWS Compute, Containers, and Networking services
• CI/CD experience with Jenkins and Jenkins pipeline
• Experience with Configuration Management tools such as Ansible is highly advantageous
• Experience with Packer, Terraform, and StackStorm is advantageous
• Experience with Kubernetes, Docker, and Helm is highly desirable

• Collaborate with Configuration Management tools and Workflow management tools such as Ansible and Stackstorm to handle and deploy COLO multi-platform server clusters in NVIDIA Data Centers worldwide.
• Build and develop infrastructures, tools, and automation scripts to improve automation support for activities like image management, switch management, deployment, data analytics, automated testing, logging, monitoring, and alerts for micro-services.
• Apply agentic AI to develop AI orchestration skills and manage Data Center operations at scale using infrastructure tools like netbox, foreman, and Mellanox switches.
• Employ infrastructure management technologies like Kubernetes and Docker to ensure fast and consistent delivery.
• Own the infrastructure for micro-services and provide operational support to application teams, focusing on automation service, infrastructure and security improvement, and live service troubleshooting.

NVIDIA is an AA/EEO/Veterans/Disabled employer and provides reasonable accommodation for individuals with disabilities during application or interview processes.