Staff Software Engineer, Cloud FinOps
Staff-level engineer driving company-wide cloud cost optimization and FinOps initiatives across engineering teams. Requires 5+ years infrastructure experience and 2+ years FinOps/cloud cost management.
Senior/Staff Virtualization Engineer
Builds custom compute environments including bare metal/virtual machines with GPU passthrough, dedicated Kubernetes clusters, and overlay networking for customer AI workloads. Requires 5+ years in Linux virtualization, strong networking, Kubernetes on bare metal, and NVIDIA GPU expertise.
180k – 250kSan Francisco, CADevOps / SREOnsite5+ YOE
About the role
Key Responsibilities
- Build and deliver custom environments with excellent GPU performance for customer workloads
- Leverage AI to an extreme level to automate provisioning, alerting and recovery
- Provision and configure dedicated Kubernetes clusters tailored to customer requirements
- Design and implement overlay networking (VLAN, VXLAN) and routing configurations (ECMP, BGP) and tunnels (strongSwan, IPSEC) for tenant isolation and performance
- Build and maintain Linux images
- Set up network monitoring and diagnostics for customer environments
- Automate the end-to-end lifecycle of customer compute environments: creation, configuration, validation, and teardown
Requirements
- 5+ years experience with Linux virtualization: KVM/QEMU, libvirt, VFIO device passthrough, hugepages, NUMA, CPU pinning
- Strong networking fundamentals: VXLAN, VLAN, ECMP, BGP, ARP, and the ability to debug packet-level issues (tcpdump, Wireshark)
- Production experience building and operating Kubernetes clusters on bare metal (MetalLB)
- Proficiency with Linux image building and OS provisioning (kickstart, cloud-init, PXE/iPXE)
- Proficiency in Python, Bash, Ansible and Terraform
- Deep experience with NVIDIA GPUs: drivers, MIG, container runtimes (nvidia-container-toolkit), InfiniBand, RDMA/RoCEv2 and GPUDirect for high-performance AI networking
- Excellent communication and ability to drive technical decisions across teams
- Self-starter who executes quickly, takes ownership, and constantly seeks improvement
Nice to Have
- Experience with SR-IOV, DPDK, or other high-performance networking technologies
- Experience with shared network storage (Ceph, Lustre, Weka)
- Experience with network automation tools (Netbox, Nautobot, Nornir)
Compensation
$180,000-250,000 plus equity + benefits
Skills
KubernetesKvm/QemuLibvirtVfioNvidia GpusVxlanVlanBGPEcmpPythonBashAnsibleTerraformTcpdumpWireshark
Similar roles
DevOps / SRE jobsStaff Engineer, AI Productivity
Staff-level engineer building infrastructure, tooling, and documentation to make AI coding agents dramatically more productive across the codebase. Owns agentic dev environments, MCP integrations, and agent context.
Staff Infrastructure Engineer
Build infrastructure, observability, and developer tooling for a realtime AI platform serving 911 centers. Requires 6+ years infrastructure/platform/backend experience and comfort across the full stack.
Staff Software Engineer, AI Developer Tools
Staff-level engineer architecting AI-native developer tools and infrastructure to accelerate engineering velocity across Gusto. Requires 8+ years experience building production AI systems with deep expertise in LLMs, RAG, and multi-agent workflows.