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Home / Jobs / NVIDIA

Senior Systems Software Engineer, Developer Productivity and Cloud Automation - GeForce NOW

NVIDIA

India, PunePosted 27 days ago
NVIDIA logo

Skill Required

Cloud EngineerSoftware EngineerSoftware DeveloperCloudVaultMicroservicesObservabilityCD pipelinesEngineeringKubernetesPrometheusGitHub ActionsTerraformsecurityAnsibleJenkinsDatadogRESTPythonDevOpsArgoCDGitISO 27001AzureCI/CDgRPCHelmAPIsFulltime

Key highlights

  • 12+ years of experience required
  • Competitive salaries and generous benefits
  • Expert-level Kubernetes and GitOps required
  • Hybrid multi-cloud and bare-metal production experience required

Role overview

GeForce NOW is NVIDIA's Cloud Gaming service, streaming games at the highest quality to any and every user, regardless of their device type and capabilities - low-end PCs, Macs, TV or mobile devices. Using the most sophisticated GPUs and NVIDIA proprietary software, GeForce NOW transforms the gaming experience with always up-to-date games on always the latest hardware, a streaming experience rivaling that of a local PC, and near-instant launch – just click and play! For more details, see http://www.geforce.com/geforce-now. Our mission empowers every GeForce NOW engineer to deliver confidently by removing obstacles, catching issues early, and turning deployments into a strength rather than a liability. We handle pipelines using GitLab’s CI platform and Jenkins, along with Flux CD and Argo CD rollouts, StackStorm event-driven automation, HashiCorp Vault for credential storage, and automation across multi-cloud environments. This is the Kubernetes-native deployment platform paired with its automation system and the backend services and APIs that support it. We deliver zero-downtime global rollouts with automatic drift detection. Our reliable staging environments replicate production accurately. We provide cloud automation for bare-metal and multi-cloud environments. If a GFN service ships, runs, or self-heals, you build the infrastructure behind it.

Responsibilities

  • Build and develop backend microservices and REST/gRPC/MCP APIs that power the deployment platform, zone reservation/lease system, and developer self-service tooling
  • Extend the platform with dynamic delivery, automatic rollback, drift detection, and automated zone bootstrapping
  • Build and stabilize prod-like staging environments/zones so teams catch regressions early
  • Develop and sustain GitOps pipelines (Flux CD, Argo CD) across on-premises and Nvidia GFN Cloud/AWS/Azure/GCP
  • Develop Kubernetes CRDs and operators in Go for scheduling, auto-scaling, and compliance across data centers
  • Build backend integrations and control-plane services connecting CI/CD, observability, and automation systems into a unified platform experience
  • Automate dedicated hardware and multiple cloud platform configurations using Terraform, Ansible, and Vault
  • Implement monitoring solutions including Prometheus, Grafana, Datadog, and ELK, paired with SLO/alerting for early detection
  • Integrate automation tools — runbooks, StackStorm bots, anomaly-triggered remediation, and Slack self-service release bots

Requirements

  • BS or MS in Computer Science or equivalent experience with 12+ years of experience in Cloud Infrastructure and DevOps, with deep expertise in Kubernetes, GitOps (or equivalent), and production-grade cloud-native CI/CD pipelines
  • Expert Kubernetes: CRDs, operators, multi-cluster management, and security hardening (CIS, PCI/SOC 2)
  • Proficiency in Flux CD or Argo CD, GitLab CI, and Jenkins; Go or Python for control plane development
  • Experience handling Vault, Terraform, Ansible, and Helm in both on-premises and cloud environments
  • Experience in developing and scaling RESTful, gRPC, MCP APIs and backend services
  • Experience running hybrid multi-cloud and bare-metal at production scale, and owning a platform roadmap end-to-end

Nice to have

  • Backstage or similar internal developer portals for self-service tooling
  • Comprehensive expertise covering backend services as well as platform and infrastructure engineering
  • Daily use of AI-assisted tools (Claude Code, GitHub Copilot, Cursor) — we use these daily
  • Hybrid infrastructure spanning on-premises GPU clusters and public cloud

Benefits

  • Competitive salaries
  • Generous benefits package

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LocationIndia, Pune
TypeFulltime
Posted8/11/2026
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