Director of Infrastructure Engineering

MANTECH
•$152,200 - $273,900•Remote

About The Position

MANTECH is seeking a motivated, customer-oriented Director of Infrastructure Engineering to lead technical architecture, systems engineering, and implementation of automated enterprise infrastructure and core platforms. The role serves as principal architect for transforming IT operations into an AI-first, automated operational environment. The Director will oversee resilient multi-cloud network architecture, centralized security governance, and Zero Trust micro-segmentation. The position also leads the deployment of secure MCP servers and autonomous orchestration layers for enterprise systems, manages agent identity and permissions, and develops Terraform-based infrastructure libraries and automated FinOps capabilities. The position is fully remote. U.S. citizenship is required. The listed projected compensation range is $152,200–$273,900, with final compensation dependent on factors including experience, skills, location, education, certifications, and applicable contract labor categories. Benefits may include health and life insurance, paid time off, holiday pay, short- and long-term disability, retirement and savings, learning and development, wellness programs, and optional benefit elections.

Requirements

  • B.S. in Computer Science, M.S. in Information Technology, or equivalent degree, with 15+ years of progressively responsible network engineering experience.
  • Significant experience architecting enterprise AI fabrics and Agentic NetDevOps orchestration layers for large-scale operations.
  • Extensive experience engineering multi-cloud network architectures across GCP, Azure, AWS, and OCI.
  • Demonstrated expertise maintaining large-scale Terraform module-based IaC architectures and implementing cloud FinOps through automated spend tracking and rightsizing.
  • Proven capability managing enterprise-scale centralized security governance, micro-segmentation, and Zero Trust implementations.
  • Experience orchestrating global software-defined WAN fabrics and bare-metal virtualization on KVM hypervisors to reduce legacy licensing costs.
  • U.S. citizen.

Nice To Haves

  • Experience engineering AIOps pipeline tools using Vertex AI and OpenAI to analyze infrastructure dependencies and auto-generate change tickets.
  • Strong background creating repeatable network isolation playbooks for M&A activities and rapid federated routing deployments.
  • Demonstrated success in large-scale migration engineering, securely moving active developer workloads and production systems to public cloud environments.
  • Ability to lead high-risk maintenance cutovers, standardize bare-metal branch footprints, and reduce site deployment times.

Responsibilities

  • Oversee architectural design of resilient multi-cloud environments using GCP networking fabrics, including Shared VPCs, Cloud Routers, and secure Cloud Interconnects, aligning controls and micro-segmentation with NIST 800-207 Zero Trust frameworks.
  • Automate global centralized security governance and policy distribution using Palo Alto Panorama, and deploy micro-segmented next-generation firewalls.
  • Direct technical architecture and systems engineering for automated enterprise infrastructure and an AI-first operational environment.
  • Architect and deploy production-grade Code Mode MCP servers across enterprise systems, including Netskope, BigFix, ServiceNow, Silverpeak, Aruba Central, Okta, and Palo Alto Panorama, to enable secure LLM interaction.
  • Build autonomous orchestration layers using the Agentic Community's MCP Gateway Registry, and establish agent identity management and permission scoping to enforce Zero Trust across AI-agent interactions.
  • Engineer and maintain centralized Terraform Infrastructure as Code libraries to govern cloud assets.
  • Implement automated rightsizing and spend tracking to optimize inference-compute costs and cloud-resource spending.

Benefits

  • Health insurance
  • Life insurance
  • Paid time off
  • Holiday pay
  • Short-term disability
  • Long-term disability
  • Retirement and savings
  • Learning and development opportunities
  • Wellness programs
  • Other optional benefit elections, depending on position
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