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Generalist backend senior role and metro hiring increase applicant density.
Highly specialized GPU virtualization and cloud infrastructure skills limit cross-industry transferability.
Explicit 8+ years and mandatory distributed-systems, Kubernetes, and language requirements make filters stringent.
Own architecture, development, and long-term operations of backend control-plane services for large-scale GPU cloud infrastructure.
Lead and mentor engineers across backend engineering, GPU virtualization, networking, storage, and firewall integrations domains.
Collaborate with product, security, platform, and operations teams to deliver scalable, secure, and high-performance cloud services.
8+ years of backend/software engineering experience with distributed systems or cloud infrastructure platforms.
Proficiency in one or more backend languages: Go, Java, Python, C++, or Rust.
Hands-on experience with containers and Kubernetes; strong Linux fundamentals and production troubleshooting.
Strong understanding of distributed systems, networking fundamentals (TCP/IP, L2/L3, routing, VLAN, VXLAN), and experience designing RESTful/gRPC APIs.
Experienced technical leader capable of driving complex, cross-domain infrastructure projects and mentoring teams.
Deep domain knowledge in GPU virtualization, cloud platform backend architecture, and infrastructure automation.
Comfortable operating in large-scale production environments requiring high availability, scalability, and robust security integrations.