Senior System Software Engineer for Cloud – GeForce NOW

About the role

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. You will design, build, and deploy highly scalable cloud-based solutions for GeForce NOW.

Responsibilities

• Build scalable cloud systems (RESTful services, microservices, APIs, frameworks) on Kubernetes.
• Arcitect 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. AWS experience (Fargate, EC2, EKS, Route53, SQS, DynamoDB) 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.

Qualifications

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.

Skills

• Experience with Kubernetes, Docker, Terraform, Pulumi, Helm, Kustomize.
• Knowledge of cloud providers (AWS, Azure, GCP).
• Experience with CI/CD tools (Argo CD, Flux CD).
• Experience with observability tools (Prometheus, Grafana, ELK).
• Experience with distributed systems and cloud-native patterns.

Benefits

Competitive salaries and a generous benefits package.

Pay

Base salary range: $184,000 - $287,500 USD.

Schedule

Full-time.