Senior Director, Cloud Services & Hybrid Infrastructure

EdgeConneX•Herndon, VA

9h•Remote

About The Position

Led by an experienced management team and supported by a strong investor group, including large and experienced institutions and strategic partners, EdgeConneX offers a dynamic, fast-paced work environment where we are bringing flexibility, proximity, power, and connectivity to some of the world’s key businesses. With major offices in Herndon, Denver, and Amsterdam, we have a global footprint and a unified team of employees committed to providing a premier customer experience and delivering the full spectrum of data center solutions, from core to edge, like no other data center provider can do. Focused on driving innovation and helping our customers define and deliver their own unique vision for the Edge, at any scale, in any market worldwide, for any requirement, we are building tomorrow’s data center infrastructure, today for some of the world’s most demanding Network, Content, and Cloud customers. EdgeConneX is seeking a Senior Director of Cloud Services & Hybrid Infrastructure to lead the transformation of our IT/OT landscape from an Azure-centric model into a resilient, hybrid multi-cloud enterprise. This is a hands-on "Builder-Leader" role — you will be responsible for ensuring our cloud-based products and enterprise systems remain secure and best-in-class while integrating seamlessly with our on-premise industrial assets. Beyond cloud modernization, this role will build the infrastructure foundation required to enable AI across EdgeConneX's product lines and operations. The ideal candidate combines deep technical expertise in cloud platforms, automation, and cost optimization with the leadership skills to upskill teams and drive a platform engineering mindset. While a senior leadership position, this position will not initially oversee an internal engineering team. This position can be based remotely on the East Coast of the U.S., the ideal candidate would be based in our Herndon, VA headquarters with the majority of the team. There will be limited travel (10-20%) associated with this role.

Requirements

10+ years in technology, with at least 5+ years focused on cloud infrastructure, platform engineering, and leading teams.
Hands-on experience managing hybrid environments across data centers and public clouds (AWS, Azure, GCP).
Deep expertise in cloud cost management and FinOps tooling and practices.
Strong hands-on experience with Infrastructure as Code (Terraform, Bicep, Ansible) and scripting (Python, PowerShell, Bash).
Demonstrated experience migrating virtualized workloads to container-based architectures (Kubernetes, Docker).
Deep knowledge of hybrid networking: ExpressRoute, Site-to-Site VPNs, SD-WAN for IT/OT security.
Understanding of the cost-benefit analysis of build vs. buy — ability to articulate when to use Azure vs. GCP/AWS for specific IoT telemetry, data analytics, and AI workloads.
Strong experience leading engineering teams and influencing senior leadership.

Nice To Haves

Experience in data center, critical facilities, or industrial/OT technology environments.
Experience providing infrastructure for AI/ML workloads, including GPU orchestration and HPC environments.
Familiarity with LLMOps, RAG architectures, or MLOps tooling.
Experience with GitOps practices for infrastructure configuration management.
Familiarity with next-generation IaC tools (Crossplane, Pulumi).
Track record of implementing FinOps programs with measurable cost reduction outcomes.
Experience with Agile/DevOps practices at scale.

Responsibilities

Hybrid Strategy & OT Convergence
Architect the connectivity and data flows between OT environments and cloud-based SaaS products.
Own the stability, security, and performance of hybrid connectivity (ExpressRoute, Site-to-Site VPNs, SD-WAN) across IT and OT boundaries.
Multi-Cloud Expansion & Optimization
Lead the evolution from a primarily Azure environment into a strategic multi-cloud footprint (AWS, GCP) to leverage specialized services and reduce vendor lock-in.
Drive cloud management and optimization initiatives — establish resource right-sizing, reserved instance strategies, and workload placement policies.
Implement automated governance and FinOps practices to ensure 100% transparency in hybrid spend, including advanced automation for resource provisioning and cost-tagging.
Virtualization to Container Modernization
Define and execute the roadmap for migrating legacy virtualized workloads to containerized, cloud-native architectures.
Establish Kubernetes-based platforms for running production workloads as appropriate, shifting the organization toward modern orchestration patterns.
Automation & Platform Engineering
Drive an "automation-first" culture using Infrastructure as Code (Bicep, Terraform) to replace manual processes with self-healing, self-service infrastructure.
Oversee the design, architecture, and management of DevOps CI/CD pipelines across the application portfolio.
Build secure dev, test, and production environments that accelerate software delivery with a platform-as-product mindset.
Ensure infrastructure fungibility and that DR solutions are robust and resilient.
AI Infrastructure Enablement
Build and scale the high-performance computing (HPC) and data environments required to deploy AI technologies across EdgeConneX product lines.
Partner with application and data teams to ensure cloud infrastructure is ready to support AI/ML workloads, including training, fine-tuning, and inference.
Evaluate and recommend AI/ML infrastructure services across cloud providers to support the company's AI roadmap.
Leadership & Governance
Lead, mentor, and grow a team of infrastructure and platform engineers — with a track record of upskilling legacy IT teams into modern DevOps and cloud-native practitioners.
Partner with security teams to implement DevSecOps, ensuring compliance with zero-trust principles and data protection policies.
Work with leadership and PMO to manage workstreams across internal teams and contractors.