Senior System Software Engineer for Cloud
$184k - $287.5kNVIDIA
Role Description
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. Your work 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, 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.
Qualifications
- 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.
Requirements
- 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.
Benefits
- Competitive salaries.
- Generous benefits package.
- Equity eligibility.
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