- Design and implement a scalable virtualization platform capable of supporting high-density compute and GPU workloads
- Lead the evolution from existing platforms (e.g., Proxmox) toward KVM/QEMU-based architectures
- Define standards for VM lifecycle management, performance isolation, resource allocation, and resilience strategies
- Optimize virtualization for high-performance workloads, including NUMA alignment, CPU pinning, and GPU passthrough
- Partner with networking and storage teams to integrate high-throughput systems like SR-IOV, RDMA, and distributed storage
- Build and improve automation for hypervisor deployment, image pipelines, and cluster scaling
- Troubleshoot deep system-level performance issues across compute, memory, storage, and network layers
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