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

About GeForce NOW

Role mission and scope

What you'll be doing

• Build backend microservices and REST, gRPC, and MCP APIs for deployment, zone reservation and leasing, and developer self-service.
• Extend dynamic delivery, automatic rollback, drift detection, and automated zone bootstrapping.
• Build and stabilize production-like staging environments and zones.
• Develop and maintain GitOps pipelines across on-premises and cloud environments.
• Develop Kubernetes CRDs and Go operators for scheduling, autoscaling, and compliance.
• Connect CI/CD, observability, and automation systems with backend integrations and control-plane services.
• Automate dedicated hardware and multi-cloud configurations with Terraform, Ansible, and Vault.
• Implement monitoring with Prometheus, Grafana, Datadog, and ELK, with SLOs and alerting.
• Integrate runbooks, StackStorm bots, anomaly-triggered remediation, and Slack release bots.

What we need to see

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

Preferred experience

• Backstage or similar internal developer portals for self-service tooling.
• Broad expertise across backend services, platform, and infrastructure engineering.
• Daily use of AI-assisted tools such as Claude Code, GitHub Copilot, or Cursor.
• Hybrid infrastructure experience across on-premises GPU clusters and public cloud.

Compensation

• Base salary ranges are $184,000–$287,500 for Level 4 and $224,000–$356,500 for Level 5; salary depends on location, experience, and comparable employee pay.
• The role is also eligible for equity and benefits.

Application information

• Applications are accepted at least until July 30, 2026.
• The posting is for an existing vacancy.