Participate in on‑call and incident response, lead troubleshooting of complex storage and performance issues, and drive root cause analysis and preventive actions.
Define and track SLOs/SLIs and error budgets for storage services, using observability and analytics to continuously improve reliability and efficiency.
Build and maintain runbooks, standard operating procedures, and comprehensive documentation for storage services and automation.
Analyze capacity and usage trends, perform forecasting, and recommend scaling or optimization strategies to support business growth.
Collaborate closely with SRE, infrastructure, networking, and application teams in a follow‑the‑sun model to deliver consistent, high‑quality service.
Mentor junior engineers, share best practices, and help drive adoption of SRE principles across the team.
What We Need to See
12+ years of experience in Site Reliability, DevOps, or Infrastructure Engineering, with significant focus on storage systems.
Strong hands‑on experience with design, deployment, and operations of enterprise‑grade NAS, SAN, and/or Object Storage platforms.
Solid understanding of SRE concepts (SLOs/SLIs, error budgets, incident management, observability, postmortems).
Proficiency with Infrastructure as Code and configuration management tools (e.g., Terraform, Ansible, Puppet, SaltStack) and source control systems.
Experience building and operating highly available, scalable infrastructure, including automation for provisioning, monitoring, and remediation.
Experience with container and virtualization platforms (e.g., Docker, Kubernetes, hypervisors) and modern CI/CD and version control tools.
Strong scripting or programming skills (e.g., Python, Go, Shell) to build tools, automate workflows, and integrate systems.
Excellent communication and collaboration skills, with the ability to work effectively across distributed and cross‑functional teams.
Bachelor’s degree in Computer Science, Computer Engineering, or a related technical field (or equivalent practical experience).
Ways to Stand Out from the Crowd
Experience with storage for high‑performance computing, AI/ML workloads, or large‑scale data analytics.
Proven ability to debug complex, distributed systems and storage performance issues.
History of driving reliability improvements through data‑driven analysis and automation.
Experience leading technical initiatives, mentoring engineers, or acting as a technical lead on critical projects.
With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us. If you're creative and motivated, we want to hear from you!
