Senior System Software Engineer, Kubernetes, KubeVirt

Full-stack EngineerSoftware EngineerFull TimeRemoteTeam 10,001+Since 1993H1B SponsorCompany SiteLinkedIn

Location

California

Posted

35 days ago

Salary

$184K - $287.5K / year

Bachelor Degree6 yrs expExperience acceptedEnglishCloudDistributed SystemsGRPCKubernetesGo

Job Description

• Design, implement, and operate cloud platform services that provide GPU‑accelerated IaaS on top of Kubernetes and KubeVirt. • Develop and extend Kubernetes and KubeVirt components (e.g., operators/controllers, CRDs, device plugins) to support GeForce NOW and new NVIDIA hardware platforms. • Drive the underlying technology stack: influence architecture, coding standards, observability, and deployment methodology for high‑scale, high‑availability services. • Collaborate closely with product, hardware, and other engineering teams to deliver new capabilities end‑to‑end, including leading design discussions and aligning engineering leads on architecture and technology choices. • Lead performance tuning, scalability improvements, and pervasive automation across the stack (provisioning, testing, deployment, operations). • Own and document system and software architecture, designs, and implementation details for the services you build. • Mentor engineers on the team and help foster a culture of engineering excellence, learning, and collaboration.

Job Requirements

  • BS or MS in Computer Science or a related field (or equivalent experience)
  • 6+ years of hands‑on experience building software and/or scalable cloud services
  • Significant experience building distributed systems or cloud‑scale services, including well‑designed APIs (e.g., REST/gRPC)
  • Experience with cloud infrastructure: containers, Kubernetes, CI/CD pipelines, and production operations
  • Experience leading design reviews and influencing technical direction across teams, including communicating design documents, defending trade‑offs, and driving decisions with data
  • Proven skills developing in Go (GoLang), including working with Kubernetes/KubeVirt APIs and custom resources
  • Deep understanding in at least some of these areas: virtualization (KVM/QEMU/libvirt, KubeVirt), container orchestration, distributed systems, load balancing, security, or large‑scale multi‑tenant cloud platforms.

Benefits

  • equity
  • generous benefits package

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