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

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.

• 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