Chief Technology Officer (CTO) — DigiPowerX

Location: Miami, FL

Company: DigiPowerX (NASDAQ-listed)

Role Type: Full-Time Executive • Cloud & AI Infrastructure Leadership

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About DigiPowerX

DigiPowerX is a rapidly scaling AI infrastructure and data-center operator building Tier III high-density compute facilities across the United States. Our platform powers massive GPU clusters, high-voltage power infrastructure, advanced cooling systems, and large-scale AI compute environments.

We are expanding our leadership team with a CTO who can architect, scale, and operate enterprise-grade GPU cloud platforms, high-density compute clusters, and fault-tolerant data-center systems.

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Role Overview

The Chief Technology Officer (CTO) will lead the technical vision, architecture, and engineering execution across DigiPowerX’s cloud and data-center technology stack.

You will design and operate large-scale GPU clusters, cloud orchestration systems, enterprise integration layers, and mission-critical infrastructure serving Fortune 500 and government-level customers.

This is a strategic and hands-on executive role responsible for shaping DigiPowerX’s long-term technical roadmap for compute, cloud architecture, network engineering, and secure AI infrastructure.

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Key Responsibilities

Cloud Architecture & Platform Engineering

• Architect a high-density GPU cloud platform capable of scaling from hundreds to thousands of GPUs.

• Design multi-tenant and dedicated private cluster models.

• Lead development of orchestration, automation, and infrastructure-as-code systems.

• Integrate Kubernetes, Slurm, Terraform, SSO/SAML, VLAN isolation, and API provisioning.

Data Center Integration

• Align cloud systems with DigiPowerX Tier III modular data-center design.

• Optimize GPU rack density, liquid cooling integration, and high-voltage power delivery.

• Oversee network architecture: BGP, VXLAN, SDN, L2/L3 segmentation.

Security & Reliability

• Implement and maintain SOC 2 security controls.

• Build HA/DR strategies for large-scale AI workloads.

• Oversee 24/7 monitoring, incident response, and infrastructure reliability.

• Manage security hardening, audit logging, identity management, and access controls.

Customer & Enterprise Support

• Build onboarding pipelines and enterprise tooling for GPU-intensive workloads.

• Provide architectural leadership for model training environments, inference pipelines, and HPC operations.

• Work closely with enterprise customers to design and deploy secure compute environments.

Leadership & Execution

• Build and lead engineering teams (cloud, SRE, DevOps, network, security).

• Drive innovation, engineering standards, and long-term platform architecture.

• Own the company-wide technical roadmap.

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Required Expertise

Technical Background

• 10+ years designing or operating large-scale cloud platforms or HPC/GPU clusters.

• Deep knowledge of distributed systems, high-performance networking, and container orchestration.

• Experience with NVIDIA GPU infrastructure (A100/H100/B200/B300 preferred).

• Strong experience with Kubernetes, Slurm, and infrastructure-as-code.

• Familiarity with SOC 2 audits and enterprise cloud security frameworks.

Leadership Skills

• Proven track record managing engineering organizations.

• Experience supporting enterprise and government customers.

• Strong communication and ability to translate complex systems into business outcomes.

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Nice-to-Have

• Experience with liquid cooling, CDU systems, or high-density rack engineering.

• Background in cloud networking, telecom, or hyperscale environments.

• Familiarity with AI/ML tooling (PyTorch, TensorFlow, distributed training frameworks).

• Prior experience building a cloud platform from scratch.

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