Senior System Software Engineer Cloud – GeForce

Overview

GeForce NOW is NVIDIA's Cloud Gaming service, streaming games at the highest quality to any device type and capability—low-end PCs, Macs, TV or mobile devices. Using the most sophisticated GPUs and NVIDIA proprietary software, GeForce NOW delivers up-to-date games on the latest hardware with a near-instant launch, click and play experience. For more details, see

• 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, Argo CD, Flux CD).
• 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 focusing 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 skills 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.

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. If you're creative and autonomous, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until February 21, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) 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.

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