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# Head of Cloud & AI Infrastructure - Hybrid

- **Company:** Genesis10
- **Location:** Pittsburgh, PA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $218,400.0 - $239,200.0
- **Contract:** Contract
- **Skills:** Kubernetes Security, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Cloud Engineering, Data Centers, Network Topologies, Machine Learning, Uptime, AI Infrastructure, Google Cloud, Istio, Open-source Models, Multi-Cloud, HybridCloud, Kubernetes, Information Technology, Linkerd (Service Mesh), Software Coding, Terraform, Microservices
- **Published:** October 29, 2026
- **Apply:** https://www.thejobnetwork.com/job/ab428131-28e5-405a-8517-1563176dfeaf/head-of-cloud-ai-infrastructure-hybrid

## About the Role

* Ten or more years of progressive experience in infrastructure engineering, cloud architecture, platform engineering, or data center operations
 * At least five years of experience in a senior technology leadership role with responsibility for infrastructure strategy, engineering teams, transformation programs, or enterprise platforms
 * Experience operating in an advisory, consulting, interim leadership, or transformation-focused capacity is strongly preferred
 * A bachelor's degree in computer science, engineering, information technology, or a related discipline is preferred
 * Deep knowledge of one or more major public cloud ecosystems-AWS, Microsoft Azure, or Google Cloud Platform
 * Demonstrated success leading large-scale legacy data center migrations or infrastructure transformations involving hybrid-cloud or multi-cloud environments
 * Proven ability to assess an existing enterprise infrastructure environment and translate findings into an actionable strategy and transformation roadmap
 * Advanced experience with enterprise Infrastructure-as-Code tools, particularly Terraform
 * Strong knowledge of the Kubernetes ecosystem, including cluster management, container security, orchestration, and lifecycle management
 * Experience with service mesh architectures and technologies such as Istio or Linkerd
 * Demonstrated understanding of cloud financial management, capacity planning, cost allocation, and FinOps practices
 * Experience designing or supporting infrastructure for AI/ML model training and inference workloads
 * Strong executive and technical communication skills
 * A consultative leadership style that enables rapid assessment, builds stakeholder confidence, and converts strategic recommendations into executable plans

## Description

* Assess the current cloud, on-premises, network, platform, and AI infrastructure environments
 * Provide hands-on strategic and technical leadership across complex enterprise cloud and infrastructure environments, with a focus on improving uptime, scalability, resilience, and reliability
 * Establish standards and governance for hybrid and multi-cloud workload placement
 * Accelerate the adoption of cloud-native patterns, including microservices, container orchestration, and service mesh technologies
 * Develop and implement cost-efficient cloud consumption strategies in partnership with FinOps
 * Design, build, and support scalable on-premises AI clusters utilizing open-source models, frameworks, and deployment engines
 * Partner closely with AI and machine learning engineering teams to optimize cloud, compute, storage, hardware, and network topologies
 * Drive a culture of Infrastructure-as-Code, automation, standardization, and continuous improvement
 * Partner with security, risk, and compliance teams to align cloud and AI infrastructure strategies with governance requirements
 * Present infrastructure strategy, investment recommendations, risks, and performance results to both technical and executive audiences