Senior Infrastructure Engineer (AI)

Location: Palo Alto, California, USA; in office

Salary: $180,000–$210,000 per year

Company

hirify.global builds infrastructure that enables companies to use modern AI in production reliably and at scale, with a focus on AI inference and GPU infrastructure.

What you will do

• Design, build, and operate high-performance data center networks across multiple colocation sites, including spine/leaf fabrics, BGP, transit, peering, and network security.
• Own site bring-ups from low- and high-level design through capacity planning, rack and power layouts, cabling, hardware installation, turn-up, and production handoff.
• Operate and improve the Linux-based infrastructure supporting the compute platform through monitoring, troubleshooting, and automation.
• Lead infrastructure projects across vendors and sites, coordinating timelines, dependencies, shipments, logistics, and risks.
• Travel to data centers to install, connect, and troubleshoot hardware with remote-hands and vendor teams.
• Act as the primary technical contact for data center vendors and managed-infrastructure customers while developing repeatable playbooks and standards.

Requirements

• 10+ years of experience building and operating infrastructure for 24/7 production environments, including hands-on data center infrastructure and networking.
• Deep experience with data center networking, including spine/leaf or Clos architectures, BGP, and network security.
• Experience deploying colocation or data center infrastructure, including network design, rack layouts, cabling, hardware installation, and turn-up.
• Strong Linux fundamentals and the ability to troubleshoot networking, compute, storage, and physical infrastructure.
• Strong scripting and automation skills with Python, Bash, Ansible, or similar tools.
• Experience owning complex infrastructure projects and working directly with data center, network, or hardware vendors.

Nice to have

• GPU infrastructure experience, including InfiniBand or RoCE and high-density power and cooling environments.
• Private cloud experience with KVM, Proxmox, OpenStack, Ceph, or similar technologies.
• Production Kubernetes, containers, Prometheus, or Grafana experience.
• Experience managing ASNs, IP prefixes, IRR records, and routing policies with ISPs and IXPs.
• Experience with hardware procurement, colocation contracts, capacity planning, and vendor negotiations.

Culture & Benefits

• Work in an early, close-knit team with influence over product direction.
• Build AI infrastructure for rapidly growing inference demand.
• Work across multiple vendors, data centers, time zones, and physical deployment environments.
• Full-time, in-office role with hands-on data center responsibilities.