Drimva

NVIDIA

Senior Site Reliability Engineer - Kubernetes Platform

$184K–$356K

US, CA, Santa Clara +2 · Senior · Full-time · Posted Oct 11, 2026

Location
US, CA, Santa Clara
US, TX, Austin
US, NC, Durham
Experience
8+ years building and supporting critical production services; 5+ years of coding/scripting in at least two languages.
Education
Bachelor's degree in Computer Science or related technical field (or equivalent experience).

About the job

Own and scale NVIDIA’s Kubernetes platform for chip-design workloads across on-premises datacenters and public clouds, improving reliability, automation, and operations.

What you'll do

  • Manage Kubernetes clusters end-to-end and implement multi-cluster lifecycle, upgrade, and rollout strategies.
  • Build infrastructure-as-code, GitOps, observability, and automated recovery practices; lead on-call incident response and root-cause analysis.
  • Partner with EDA, storage, network, and data center teams to design and improve platform capabilities and deployments.

What they ask for

  • Bachelor's degree in Computer Science or related technical field (or equivalent experience).
  • Hands-on production Kubernetes operations experience, including CSP-managed and self-managed on-premises Kubernetes across multiple datacenters.
  • Strong CI/CD and Infrastructure-as-Code experience; proficiency with monitoring, metrics, and log collection tooling.
  • 5+ years of coding/scripting for automation and operational management at scale in at least two languages; track record mentoring engineers and influencing technical direction.

Nice to have

  • Familiarity with EDA/silicon-design workflows, license management, or license-constrained compute; production Kubernetes controllers, operators, or plugins.
  • Experience with large-scale stateful, storage-heavy, or GPU-accelerated Kubernetes workloads; technical publications or open-source maintenance.

Pay

184,000 USD - 287,500 USD (base salary, Level 4); 224,000 USD - 356,500 USD (base salary, Level 5)

Tools

Kubernetes, EKS, GKE, RKE, Red Hat OpenShift, Terraform, Ansible, Helm

AI focus

Build data-driven and auto-healing operations, including AIOps/ML-driven signals, and support intelligent workload routing, dynamic scaling, and resource governance.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 5, 2026 (UTC)