Senior/Staff Kubernetes Infrastructure Engineer

Key Responsibilities

• Design, automate, validate, and deliver the complete lifecycle of customer compute environments — from provisioning through upgrades, recovery, and decommissioning
• Use AI aggressively to automate and accelerate every aspect of infrastructure delivery and operations
• Provision dedicated Kubernetes and Slurm clusters tailored to customer workloads
• Build and maintain Linux images and automated OS-provisioning workflows
• Operate the NVIDIA GPU stack: drivers, GPU Operator, NVIDIA Container Toolkit, device plugins, MIG, and GPU monitoring
• Design Kubernetes and data-center networking using Cilium/Calico, MetalLB, VLAN, VXLAN, BGP, and ECMP
• Configure distributed and shared storage for high-performance workloads
• Build monitoring, alerting, diagnostics, and automated recovery for customer environments
• Develop reusable tooling, standards, documentation, and runbooks
• Collaborate with customers and internal teams to translate workload requirements into sound infrastructure designs

Requirements

• 5+ years of experience building and operating production Linux infrastructure
• Strong production experience with Kubernetes on bare metal (bootstrapping, upgrades, HA control planes, etcd, containerd, CNI, CSI, ingress, load-balancing, observability, security, troubleshooting)
• Experience with Linux virtualization: KVM/QEMU, libvirt, VFIO device passthrough
• Experience operating NVIDIA GPUs on Linux and Kubernetes (drivers, container runtimes, device plugins, GPU Operator, GPU telemetry)
• Strong networking fundamentals: TCP/IP, L2/L3, VLANs, routing, packet-level troubleshooting (tcpdump, Wireshark)
• Practical scripting experience
• Experience with configuration-management tools such as Ansible
• Ability to diagnose complex, cross-layer infrastructure issues
• Strong communication and ability to drive technical decisions across teams
• Track record of moving quickly, taking ownership, and continuously improving systems

Nice to Have