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NVIDIA

Designs the chips and software that power AI

Senior Site Reliability Engineer - Storage

Site Reliability EngineeringConfirmed live in the last 24 hours
Full-timeYokne'am Illit, IsraelNo salary listedIn-person

About the Job

Requirements

  • At least 12 years of experience in Site Reliability, DevOps, or Infrastructure Engineering, with significant focus on storage systems.
  • A bachelor's degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience.
  • Hands-on experience designing, deploying, and operating enterprise-grade NAS, SAN, and/or Object Storage platforms.
  • Understanding of SRE concepts, including SLOs/SLIs, error budgets, incident management, observability, and postmortems.
  • Proficiency with Infrastructure as Code and configuration management tools such as Terraform, Ansible, Puppet, or 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 such as Docker, Kubernetes, and hypervisors, and with modern CI/CD and version control tools.
  • Scripting or programming skills in languages such as Python, Go, or Shell to build tools, automate workflows, and integrate systems.
  • Ability to work effectively across distributed and cross-functional teams.

Responsibilities

  • Lead design, deployment, and operations of production NAS, SAN, and Object Storage platforms, ensuring reliability, performance, and security.
  • Capture requirements from partner teams, architect storage solutions, and drive end-to-end implementation for new and existing services.
  • Develop, maintain, and improve automation for provisioning, configuration, monitoring, incident response, and lifecycle management of storage infrastructure.
  • 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 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.

Desired Qualifications

  • Experience with storage for high-performance computing, AI/ML workloads, or large-scale data analytics.
  • 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.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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