Senior GPU Cloud Infra Engineer - Kubernetes & GitOps

Socket.dev; Washington; Hybrid; USD 184,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA DGX Cloud is seeking Senior Software Engineers to build automation, tooling, and operational systems for reliable, scalable GPU infrastructure. You will work on Kubernetes-based infrastructure, GPU cluster operations, and Day 2 operability across DGX Cloud environments.

In this role you will reduce manual touches via APIs and GitOps, participate in on-call duties, and collaborate with platform, storage, networking, security, and workload teams to ensure production-readiness.

Qualifications

• 8+ years of experience building or operating production infrastructure.
• Proficient in Python or Go and strong problem solving.
• Experience with Linux, Kubernetes, containers, cloud infrastructure, or automation.
• Ability to troubleshoot distributed systems in production.
• Clear communication and cross-team collaboration.
• BS/MS in Computer Science or equivalent.

Responsibilities

• Build and operate automation for large-scale GPU clusters across NVIDIA Cloud Partners and on-prem environments.
• Develop tools and services for provisioning, validation, upgrades, monitoring, repair, and lifecycle operations.
• Improve Day 0 / Day 1 / Day 2 workflows for cluster bringup and production operations.
• Reduce manual production touches through APIs, GitOps, and automation.
• 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

Kubernetes

Distributed systems

Communication

Education

BS/MS in Computer Science or equivalent

Tools

Linux

Containers

Cloud infrastructure

Terraform

ArgoCD

GitOps

Job description

NVIDIA DGX Cloud is seeking Senior Software Engineers to build automation, tooling, and operational systems for reliable, scalable GPU infrastructure. You will work on Kubernetes-based infrastructure, GPU cluster operations, and Day 2 operability across DGX Cloud environments.

In this role you will reduce manual touches via APIs and GitOps, participate in on-call duties, and collaborate with platform, storage, networking, security, and workload teams to ensure production-readiness.