Senior Software Engineer – DGX Cloud Production Automation

Remotedxb

United States

Remote

USD 150,000 - 210,000

Full time

8 days ago
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Job summary

Remotedxb seeks a seasoned infrastructure automation engineer to build and operate automation for large-scale GPU clusters across NVIDIA Cloud Partners and on-prem environments. You will craft tools for provisioning, validation, upgrades, monitoring, and cluster lifecycle operations.

You will improve Day 0/1/2 workflows, cut manual touches via APIs and GitOps, and participate in on-call duties while collaborating with platform, storage, networking, security, and workload teams to ensure

Qualifications

  • Experience with Linux, Kubernetes, containers, cloud infrastructure, or infrastructure automation.
  • Able to troubleshoot distributed systems in production.
  • Experience with GPU infrastructure, Kubernetes operators, GitOps, Terraform, ArgoCD, or fleet automation.
  • Experience with SLOs, on-call, incident response, observability, and reliability practices.

Responsibilities

  • Build and operate automation for large-scale GPU clusters across NVIDIA Cloud Partners (NCP) 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
  • 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

Linux
Kubernetes
containers
cloud infrastructure
infrastructure automation

Tools

Terraform
ArgoCD
GitOps
fleet automation

Job description

Remotedxb seeks a seasoned infrastructure automation engineer to build and operate automation for large-scale GPU clusters across NVIDIA Cloud Partners and on-prem environments. You will craft tools for provisioning, validation, upgrades, monitoring, and cluster lifecycle operations.

You will improve Day 0/1/2 workflows, cut manual touches via APIs and GitOps, and participate in on-call duties while collaborating with platform, storage, networking, security, and workload teams to ensure

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