Senior System Software Engineer Cloud – GeForce

GeForce NOW is NVIDIA’s Cloud Gaming service that streams games to any device using GPUs and proprietary software to deliver high‑quality streaming experiences.

We are looking for a Senior System Software Engineer for Cloud who sees the big picture of Cloud Computing and is deeply technical, creative, and hands‑on. The role involves designing, building, and deploying highly scalable cloud‑based solutions for GeForce NOW, and requires a deep understanding of programming languages, distributed systems, multi‑threading, and cloud services. The engineer will craft scalable and efficient cloud services to drive Visual Computing, Deep Learning, and Artificial Intelligence.

• Build scalable cloud systems (RESTful services, microservices, APIs, frameworks) on Kubernetes.
• Architect and manage Kubernetes clusters with custom components (CRDs, controllers, operators, workload scheduling, auto‑scaling, multi‑cluster, service mesh).
• Build advanced CI/CD pipelines and workflows (Pipeline as Code, Git Ops, blue‑green, canary, progressive delivery, ArgoCD, FluxCD).
• Design observability solutions (Prometheus, Grafana, ELK, distributed tracing) and tooling (SLO/SLI, alerting, anomaly detection).
• Mentor team members and drive best practices in Kubernetes, observability, and infrastructure automation.

• BS or MS in Computer Science or equivalent experience with 12+ years delivering SaaS/PaaS focused on software development and Kubernetes infrastructure automation.
• Extensive experience with Java, Golang, and/or Python (preference for Golang; strong Java valued) and developing/scaling backend services and microservices.
• Experience with container orchestration (Kubernetes, EKS, GKE, AKS), containers (Docker, containerd), and Infrastructure as Code (Terraform, Pulumi, Helm, Kustomize).
• Experience building solutions on cloud providers (AWS, Azure, GCP) with Kubernetes‑native services. AWS experience (Fargate, EC2, EKS, Route
  53, SQS, Dynamo
  
  DB) preferred.
• Deep knowledge of cloud infrastructure, distributed system design, and Kubernetes‑native patterns.
• Strong self‑initiative, interpersonal skills, adaptability, and experience writing testable, maintainable, performant codebases with focus on observability and collaboration across teams and time zones.

• Experience analyzing observability data to identify bottlenecks and improvement areas.
• Background with load testing frameworks and performance testing at cloud scale.
• Experience with cloud‑scale analytics and data‑driven optimization of infrastructure and services.

The base salary range is 224,000

USD – 356,500

USD for Level5, and 272,000

USD – 431,250

USD for Level
6. Eligibility for equity and benefits is also offered.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal‑opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.