Head of Cloud Infrastructure

You will own GPU cloud deployments end to end, from data center selection to sovereign cloud rollouts and edge site buildouts, across a growing multi-site global fleet. You will manage the technical scaling of Vertical Edge and Vertical Data’s GPU cloud offerings, with direct capex and vendor authority over infrastructure investment.

Day to day:

• Lead deployment of GPU clusters across data centers, sovereign cloud sites, and edge locations.
• Own the technical scaling roadmap and capex planning. Capacity planning, network architecture, power and cooling requirements.
• Manage relationships with data center operators, colocation providers, and hardware vendors.
• Oversee sovereign cloud builds. Ensure compliance with local data residency and regulatory requirements.
• Drive Vertical Edge expansion. Site selection, deployment timelines, and operational readiness.
• Manage uptime, utilization, and performance across the GPU fleet.
• Coordinate with the capital markets and lending teams on hardware specs, deployment timelines, and collateral valuation.
• Build, lead, and scale the infrastructure engineering team as deployment volume grows.

• 8+ years in cloud infrastructure, data center operations, or GPU cluster deployment.
• Hands-on experience deploying and scaling GPU clusters on NVIDIA H100, H200, or GB200-class hardware.
• Experience with sovereign cloud or regulated, data-residency-sensitive deployments (SOC 2, ISO 27001, or equivalent compliance frameworks).
• Strong understanding of data center power, cooling, and networking requirements at scale.
• Direct communication. No filler.
• Experience managing vendor and colocation relationships.
• Based in the US or Canada. Travel required for site visits and deployments.

Nice to Have

• Experience with edge data center deployments.
• Background in neocloud or hyperscaler infrastructure operations, or exposure to regulated or government cloud programs (e.g., FedRAMP, ITAR).
• Familiarity with GPU financing, leasing, or asset-backed hardware deals.

Pulled from the full job description

• Paid time off, Compensation is a mix of base salary, performance-based bonuses tied to deployment and uptime milestones, and equity (from a growing publicly traded company)., Send resume and a descriptive detail on the largest GPU cluster or data center deployment you have led to gerardo@verticaldata.io Also include annual Salary Expectation. No cover letter required.

Pay: $160,000.00 - $260,000.00 per year

Benefits:

• Paid time off

Vertical Data is an AI infrastructure and GPU financing company. We operate gpufinancing.com, a lending and GPU-secured financing platform built for AI cloud providers, data center operators, and enterprises deploying AI hardware at scale. We also provide GPU procurement, managed services, and sovereign cloud solutions globally as well as Vertical Edge, an edge data center platform.