Sr. SWE Datacenter Automation

ZiplineSouth San Francisco, CA
Onsite

About The Position

You will be a Senior Software Engineer on Zipline’s Infrastructure team, owning the infrastructure that runs our global autonomous delivery platform. Zipline operates safety‑critical logistics at scale: we run private datacenters and edge compute to support flight operations, simulation, CI/CD, and production services that deliver millions of flights and time‑sensitive medical deliveries. This role sits at the intersection of hardware, virtualization, orchestration, and automation. Your work directly impacts deployment velocity, compute cost, and the reliability of systems supporting Zipline’s operations.

Requirements

  • 5+ years of engineering experience with at least 4 years owning production datacenter, virtualization, or infrastructure automation systems.
  • Deep, hands‑on expertise with bare‑metal provisioning and imaging (PXE/iPXE, IPMI, Redfish), hypervisors (KVM/qemu, ESXi or equivalent), and storage systems (Ceph, NVMeoF, SAN) at scale.
  • Proven Kubernetes operations experience: cluster provisioning, upgrades, control‑plane HA, kubeadm/cluster API or equivalent, CNI and CSI troubleshooting, and workload scheduling at multi‑cluster scale.
  • Production‑grade automation and coding skills in one or more languages (Python, Go, or Rust) and experience with CI/CD pipelines, Terraform/Ansible/Helm, and GitOps practices.
  • Strong networking fundamentals: VLANs, BGP/EVPN at leaf/spine, LACP, routing, and network troubleshooting for cluster networking and storage fabrics.
  • On‑call and incident experience: you have owned postmortems, SLIs/SLOs, and driven reliability improvements under operational pressure.
  • Physical datacenter readiness: able to work on‑site in South San Francisco HQ with regular in‑office cadence, plus occasional travel to partner datacenters or field sites and hands‑on rack/cable/repair work when required.
  • Security and safety mindset: experience operating in regulated or safety‑sensitive environments, following change control and audit processes.
  • Clear communication and cross‑team ownership: you will partner with flight software, field ops, hardware, and SRE teams and must translate operational needs into automated, testable systems.

Responsibilities

  • Own end‑to‑end lifecycle for datacenter compute and storage: bare‑metal provisioning, hypervisor management, SAN/NVMe storage clusters, network configuration, and Kubernetes cluster lifecycle.
  • Design, build, and operate automation that reduces manual setup time and increases deployment velocity: PXE/firmware workflows, dynamic inventory, image generation, fleet-wide configuration drift detection, and automated recovery playbooks.
  • Deliver measurable reliability and scale improvements: set SLIs/SLOs for provisioning time, node commissioning success rate, cluster upgrade success rate, and mean time to recover (MTTR); own meeting those targets.
  • Lead cross‑functional runbook and incident ownership for infra incidents affecting flight operations or telemetry: on‑call rotation, incident commander for datacenter platform incidents, postmortems and action items.
  • Instrument and maintain monitoring, alerting, and dashboards for hardware health, hypervisor performance, storage latency, Kubernetes control plane health, and cluster autoscaling behavior.
  • Implement cost, capacity, and lifecycle management: capacity planning for compute/storage, automated reclamation, firmware/BIOS/hypervisor patch pipelines, and cold‑standby / failover procedures for critical systems.
  • Execute hands‑on tasks when required: racking and cabling in datacenters, troubleshooting hardware failures, capture forensic logs, and coordinate physical repairs with vendors and field ops.
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