Infrastructure Support Lead (AI)

TL;DR

Infrastructure Support Lead (GPU Cloud/AI): Leading and managing the US infrastructure support team to deliver high-performance GPU cloud services with an accent on team leadership, service delivery (SLA), and operational excellence. Focus on managing Kubernetes and Linux-based infrastructure at scale, solving complex technical incidents across compute and networking layers, and automating operational workflows.

Location: Must be based in the US. Remote-first team, but requires travel to hirify.global or customer sites when needed.

Company

hirify.global is a GPU cloud engineered for AI, providing cost-effective, high-performance infrastructure for AI startups and large enterprise customers.

What you will do

• Manage, coach, and mentor the Infrastructure US team, including performance reviews, development planning, and shift scheduling.
• Own ticket queue management and ensure strict adherence to ITIL processes across incidents, requests, and changes.
• Drive operational excellence by improving dashboards, alerting, and runbooks to reduce repeat incidents.
• Provide hands-on technical support across compute, storage, networking, and Kubernetes environments at scale.
• Act as the regional escalation point for high-impact incidents and lead post-incident reviews to identify recurring patterns.
• Collaborate with Senior Engineers on technical improvements and the development of operational tooling.

Requirements

• Must be based in the United States to lead the regional team.
• Proven experience leading or managing engineers in an operational support environment with a focus on meeting SLAs.
• Strong Linux systems engineering expertise with a track record of troubleshooting production compute, storage, and network layers.
• Experience operating and debugging Kubernetes environments and distributed systems.
• Solid understanding of networking fundamentals (L2/L3, routing, VLANs) and high-performance fabrics like RDMA/NVLink.
• Proficiency with scripting (Bash, Python) and Infrastructure as Code tools such as Ansible and Terraform.

Nice to have

• Experience with GPU platforms (NVIDIA/AMD) and performance diagnostics (nvidia-smi, NCCL).
• Exposure to HPC or distributed workloads involving InfiniBand or MPI.
• Experience with CI/CD or GitOps tooling.
• Experience working in multi-region environments.

Culture & Benefits

• Highly competitive compensation package including base salary and equity.
• Remote-first work culture with "Human-First Flexibility," granting autonomy to shape your own schedule.
• Dynamic progression plan tailored to individual ambitions and ownership of impact.
• Collaborative and innovative environment within a fast-growing tech startup.