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 .

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.

What You'll Be Doing:

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

What We Need to See:

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.

Ways to Stand Out from the Crowd:

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

With competitive salaries and a generous benefits package, NVIDIA is widely considered one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us.

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