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

at Nvidia

USD 184,000-356,500 per year

SENIOR

✅ On-site

Tech Stack
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1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI @ 6 API @ 4 AWS Ansible @ 4 Azure Backstage @ 4 CI/CD @ 8 Claude Code @ 6 Compliance Datadog DevOps @ 8 GCP GPU @ 4 GitHub @ 6 Go @ 4 Grafana Helm @ 4 Jenkins @ 6 Kubernetes @ 8 Microservices Observability Prometheus Python @ 4 Security @ 4 Slack Terraform @ 4 Vault @ 4 gRPC @ 4

Details

GeForce NOW is NVIDIA's cloud gaming service, streaming games at high quality to users regardless of their device. The Developer Productivity and Cloud Automation team builds the Kubernetes-native deployment platform, automation system, backend services, and APIs that support global zero-downtime rollouts, drift detection, production-like staging environments, and cloud automation across bare-metal and multi-cloud environments.

Responsibilities

Build and develop backend microservices and REST, gRPC, and MCP APIs for the deployment platform, zone reservation and lease system, and developer self-service tooling.
Extend the platform with dynamic delivery, automatic rollback, drift detection, and automated zone bootstrapping.
Build and stabilize production-like staging environments and zones to help teams identify regressions early.
Develop and maintain GitOps pipelines using Flux CD and Argo CD across on-premises environments and NVIDIA GFN Cloud, AWS, Azure, and 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.
Automate dedicated hardware and multi-cloud configurations using Terraform, Ansible, and Vault.
Implement monitoring solutions with Prometheus, Grafana, Datadog, and ELK, together with SLOs and alerting.
Integrate runbooks, StackStorm bots, anomaly-triggered remediation, and Slack self-service release bots.

Requirements

Bachelor's or higher degree in computer science, engineering, or equivalent experience.
10+ years of experience in cloud infrastructure and DevOps, with deep expertise in Kubernetes, GitOps or equivalent practices, and production-grade cloud-native CI/CD pipelines.
Expert knowledge of Kubernetes, including CRDs, operators, multi-cluster management, and security hardening aligned with CIS and PCI/SOC 2.
Proficiency with Flux CD or Argo CD, GitLab CI, and Jenkins.
Go or Python experience for control-plane development.
Experience with Vault, Terraform, Ansible, and Helm in on-premises and cloud environments.
Experience developing and scaling RESTful, gRPC, MCP APIs, and backend services.
Experience operating hybrid multi-cloud and bare-metal environments at production scale and owning a platform roadmap end-to-end.

Preferred Qualifications

Experience with Backstage or similar internal developer portals for self-service tooling.
Comprehensive backend services, platform engineering, and infrastructure engineering expertise.
Daily use of AI-assisted tools such as Claude Code, GitHub Copilot, or Cursor.
Experience with hybrid infrastructure spanning on-premises GPU clusters and public cloud.

Compensation and Benefits

The base salary range is USD 184,000–287,500 for Level 4 and USD 224,000–356,500 for Level 5. Compensation is determined based on location, experience, and the pay of employees in similar positions. The role is also eligible for equity and benefits.

Applications will be accepted at least until July 30, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer.