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

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

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 .

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.