Senior System Software Engineer for Cloud – GeForce NOW

NVIDIA is a leading technology company known for its innovative work in cloud gaming and artificial intelligence. They are seeking a Senior System Software Engineer for Cloud to design, build, and deploy scalable cloud-based solutions for GeForce NOW, focusing on Kubernetes and cloud services.

Responsibilities:

• 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, GitOps, 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

Requirements:

• BS or MS in Computer Science or equivalent experience with 8+ 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
• 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
• AWS experience (Fargate, EC2, EKS, Route53, SQS, DynamoDB) preferred
• 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