Job Requisition ID

JR2024226

Job Category

Engineering

Time Type

Full time

NVIDIA is seeking a Senior Staff SRE to build and operate reliable, scalable compute platforms that support global engineering workloads. This role spans Kubernetes, KubeVirt, bare-metal infrastructure, automation, observability, and AI-enabled operations.

Join a team that solves complex infrastructure challenges, builds durable automation, and improves the reliability and operational experience of critical compute services.

What You’ll Be Doing

Build, operate, and improve large-scale Kubernetes, KubeVirt, Linux, container, and bare-metal compute platforms, with a focus on performance, capacity, reliability, and operational scale.
Lead bare-metal provisioning and lifecycle management in data centers, including PXE boot, DHCP, DNS, OS provisioning, hardware validation, and fleet automation.
Develop automation, self-service capabilities, and observability solutions using APIs, Python or Go, Infrastructure as Code, configuration management, metrics, logs, traces, and service-health data.




Define and operate SLOs, SLIs, error budgets, alerting, and incident-response practices; lead complex incident investigations, corrective actions, and blameless postmortems.
Partner with infrastructure, security, hardware, data-center, and application teams to deliver global platform initiatives, and participate in an on-call rotation.

What We Need To See

BS in Computer Science, Engineering, a related technical field, or equivalent experience, plus 10+ years operating production infrastructure or platform services.
Strong expertise in Kubernetes administration, KubeVirt, Docker, containerization, microservices, Linux systems, and resolving distributed-system challenges.
Experience deploying and operating bare-metal infrastructure in a data-center setting, including provisioning, networking, operating-system lifecycle management, and hardware automation.
Proficiency in Python, Go, or a comparable pr

📌 Senior Staff SRE – Compute Platform (Bengaluru)
🏢 nvidia ai
📍 Bengaluru