15 hours ago
Bengaluru, IndiaSenior
Responsibilities
- Lead the design, deployment, and operations of production NAS, SAN, and object storage platforms.
- Architect storage solutions and drive end-to-end implementation for new and existing services.
- Develop automation for provisioning, configuration, monitoring, incident response, and storage lifecycle management.
- Participate in on-call and incident response, troubleshoot complex storage and performance issues, and lead root cause analysis.
- Define and track SLOs, SLIs, and error budgets while using observability and analytics to improve reliability.
- Create and maintain runbooks, standard operating procedures, and technical documentation.
- Analyze capacity and usage trends, perform forecasting, and recommend scaling or optimization strategies.
- Collaborate with SRE, infrastructure, networking, and application teams in a follow-the-sun model.
- Mentor junior engineers and help drive adoption of SRE principles across the team.
Requirements
- 12+ years of experience in Site Reliability, DevOps, or Infrastructure Engineering with significant storage focus.
- Hands-on experience designing, deploying, and operating enterprise-grade NAS, SAN, and/or object storage platforms.
- Strong 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.
- Experience building and operating highly available, scalable infrastructure with automation for provisioning, monitoring, and remediation.
- Experience with container and virtualization platforms such as Docker, Kubernetes, and hypervisors, plus modern CI/CD and version control tools.
- Strong scripting or programming skills in languages such as Python, Go, or Shell.
- Bachelor’s degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience.
- Strong communication and collaboration skills across distributed and cross-functional teams.
- Experience with storage for high-performance computing, AI/ML workloads, or large-scale data analytics is preferred.
- Experience debugging complex distributed systems and storage performance issues is preferred.
- A history of driving reliability improvements through data-driven analysis and automation is preferred.
- Experience leading technical initiatives, mentoring engineers, or serving as a technical lead is preferred.
Benefits
- Competitive salary and a generous benefits package.
Tech Stack
Categories
Site Reliability
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.