Senior SRE: GPU Cloud, Kubernetes & Automation

NVIDIA; Santa Clara (CA); On-site; USD 190,000 - 320,000; Full time

Job summary

NVIDIA DGX Cloud is seeking a Senior Reliability Engineer to help build automation, tooling, and operational systems for GPU clusters in production. This role focuses on Kubernetes-based infrastructure, reliability, and Day 2 operability across DGX Cloud environments.

You will work on automation, observability, and incident management with a strong emphasis on Python/Go and Linux/Kubernetes expert knowledge.

Qualifications

• 8+ years of experience building or operating production infrastructure.
• Strong programming skills in Python, Go, or similar.
• Expert-level knowledge with Linux, Kubernetes, containers, cloud infrastructure, or infrastructure automation.
• Solid grasp of SRE principles, such as SLOs, SLIs, error budgets, and incident management.
• Ability to troubleshoot distributed systems in production.
• Experience building and operating comprehensive observability stacks (monitoring, logging, tracing) using tools like OpenTelemetry, Prometheus, Grafana, ELK Stack, Lightstep, Splunk, etc.

Responsibilities

• Build and operate automation for large-scale Kubernetes clusters across NVIDIA Cloud Partners and on-prem environments.
• Develop tools and services for provisioning, validation, upgrades, monitoring, repair, and cluster lifecycle operations.
• Improve Day 0 / Day 1 / Day 2 workflows for cluster bringup, handoff, and production operations.
• Define SLOs/SLIs, monitor error allowances, and streamline reporting
• Reduce manual production touches through APIs, GitOps, automation, and agent-assisted workflows.
• Participate in on-call, incident response, debugging, and durable follow-up work.
• Partner with platform, storage, networking, security, and workload teams to make infrastructure production-ready.

Skills

Python

Go

Linux

Kubernetes

Observability

SRE concepts

Incident management

Distributed systems

Education

BS/MS in Computer Science

Tools

OpenTelemetry

Prometheus

Grafana

ELK Stack

Lightstep

Splunk

Job description

NVIDIA DGX Cloud is seeking a Senior Reliability Engineer to help build automation, tooling, and operational systems for GPU clusters in production. This role focuses on Kubernetes-based infrastructure, reliability, and Day 2 operability across DGX Cloud environments.

You will work on automation, observability, and incident management with a strong emphasis on Python/Go and Linux/Kubernetes expert knowledge.