Senior Systems Software Engineer, Developer Productivity and Cloud Automation

Nvidia

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Santa Clara, CA
Employment
Full-time
Posted
93 days ago
Freshness
Confirmed live today

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Similar $193k
$140k $252k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $151,000–$235,750.

Based on 240 similar postings.

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About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 1623 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1110 roles with salary data.

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At a glance

TL;DR · Senior Systems Software Engineer, Developer Productivity and Cloud Automation

The Senior Systems Software Engineer, Developer Productivity and Cloud Automation - GeForce NOW joins the team responsible for the cloud gaming service. You will own the Kubernetes-native deployment platform, its automation system, and the backend services and APIs that support it. Your daily responsibilities include building backend microservices, REST/gRPC/MCP APIs, and Kubernetes CRDs or operators in Go. You will develop GitOps pipelines using Flux CD, Argo CD, GitLab CI, and Jenkins while managing multi-cloud and bare-metal environments with Terraform, Ansible, and Vault. You will also implement monitoring solutions using Prometheus, Grafana, Datadog, and ELK. This role solves the technical challenge of delivering zero-downtime global rollouts, automatic drift detection, and automated zone bootstrapping across hybrid infrastructure spanning on-premises GPU clusters and public clouds.

What you'll do

  • Build and develop backend microservices and REST/gRPC/MCP APIs for the deployment platform and developer tooling.
  • Develop Kubernetes CRDs and operators in Go for scheduling, auto-scaling, and compliance across data centers.
  • Develop and sustain GitOps pipelines using Flux CD and Argo CD across on-premises and multi-cloud environments.
  • Automate dedicated hardware and cloud configurations using Terraform, Ansible, and HashiCorp Vault.
  • Build and stabilize production-like staging environments to enable early regression detection.
  • Implement monitoring solutions using Prometheus, Grafana, Datadog, and ELK with SLO/alerting.
  • Integrate automation tools including StackStorm bots, runbooks, and anomaly-triggered remediation systems.
  • Provide cloud automation for bare-metal and multi-cloud environments to support zero-downtime global rollouts.

What we're looking for

  • Bachelor or higher degree in computer science, engineering, or equivalent experience.
  • 10+ years of experience in Cloud Infrastructure and DevOps.
  • Deep expertise in Kubernetes, GitOps, and production-grade cloud-native CI/CD pipelines.
  • Expert knowledge of Kubernetes CRDs, operators, multi-cluster management, and security hardening.
  • Proficiency in Flux CD or Argo CD, GitLab CI, and Jenkins.
  • Proficiency in Go or Python for control plane development.
  • Experience with Vault, Terraform, Ansible, and Helm in on-premises and cloud environments.
  • Experience developing and scaling RESTful, gRPC, and MCP APIs and backend services.

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