# Senior Staff SRE – Compute Platform

**Company**: NVIDIA
**Location**: Bengaluru
**Experience**: senior
**Job type**: full-time
**Category**: IT
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/India-Bengaluru/Senior-Staff-SRE---Compute-Platform_JR2024226?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_573b056a-da5

## Description

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.

### Responsibilities

- 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.

### Requirements

- 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 environment, including provisioning, networking, operating-system lifecycle management, and hardware automation.

- Proficiency in Python, Go, or a comparable programming language, with experience building RESTful services and integrating infrastructure APIs.

- Experience with Infrastructure as Code and automation tools such as Terraform, Ansible, Chef, or Puppet, along with a solid understanding of TCP/IP networking and infrastructure security.

- Strong SRE and observability experience, including SLIs, SLOs, error budgets, incident management, monitoring, logging, tracing, and tools such as OpenTelemetry, Prometheus, Grafana, ELK Stack, or Splunk.

- Clear written and interpersonal communication skills, with a record of delivering practical, scalable solutions to complex technical problems.

### Nice to Have

- Experience operating HPC, AI, GPU-accelerated, or general-purpose bare-metal compute infrastructure, including GPU-enabled Kubernetes or KubeVirt clusters.

- Expertise with VMware vSphere, Red Hat OpenShift, KVM, Firecracker, OpenStack, or Nutanix AHV.

- Experience applying generative AI or agentic workflows to improve infrastructure diagnostics, reduce operational toil, and accelerate incident resolution.

- Experience building secure, integrated operational platforms using APIs, RBAC, service accounts, secrets management, audit controls, workflow orchestration, and infrastructure or incident-management systems.

- Demonstrated delivery of complex, high-impact infrastructure projects.

## Skills

### Required
- Kubernetes
- KubeVirt
- Linux
- containerization
- microservices
- Python
- Go
- Infrastructure as Code
- Terraform
- Ansible
- Chef
- Puppet
- OpenTelemetry
- Prometheus
- Grafana
- ELK Stack
- Splunk

### Nice to have
- HPC
- AI
- GPU-accelerated
- bare-metal compute infrastructure
- VMware vSphere
- Red Hat OpenShift
- KVM
- Firecracker
- OpenStack
- Nutanix AHV
- generative AI
- agentic workflows

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/India-Bengaluru/Senior-Staff-SRE---Compute-Platform_JR2024226?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)