Chief Technology Officer (CTO) — DigiPowerX
Location : Miami, FL
Company : DigiPowerX (NASDAQ-listed)
Role Type : Full-Time Executive
- Cloud & AI Infrastructure Leadership
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.
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.
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.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.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.#J-18808-Ljbffr