{"schemaVersion":"jobsearcher.job.v1","id":"cbc2e82fef09acbc79917b90","url":"https://jobsearcher.com/jobs/cbc2e82fef09acbc79917b90","canonicalUrl":"https://jobsearcher.com/jobs/cbc2e82fef09acbc79917b90","title":"Director Adaptive Network Infrastructure & Security","description":"Overview:\nAbout Us:\n\nWorking across the globe, V2X builds smart solutions designed to integrate physical and digital infrastructure from base to battlefield. We bring 120 years of successful mission support to improve security, streamline logistics, and enhance readiness. Aligned around a shared purpose, our $4.5B company and 16,000 people work alongside our clients, here and abroad, to tackle their most complex challenges with integrity, respect, responsibility, and professionalism.\nResponsibilities:\nWhat You'll Do:\nThe Director of Adaptive Network Infrastructure & Security is a senior technical leadership role responsible for designing, implementing, and operating a modern, self-adapting, AI-optimized network that serves as the transport backbone for the organization’s enterprise AI Fabric. Reporting to the VP of Intelligent Automation and IT Operations, this leader will drive the transition to a Zero Trust architecture, manage all aspects of core networking and telecommunications, deploy Secure Access Service Edge (SASE) capabilities, and ensure the network is purpose-built to carry AI workloads — including low-latency inference traffic, and agent-to-agent communication. This role is critical to establishing a greenfield IT operational environment, building a network foundation that is resilient, AI-aware, and compliant from day one. In the AI-First IT model, infrastructure is no longer static and human-managed — it is dynamic, AI-optimized, and self-adapting. This director will lead that transformation.\nKey Responsibilities:\nZero Trust Architecture & Implementation\nArchitect and lead the enterprise-wide implementation of a Zero Trust Network Access (ZTNA) framework aligned to NIST 800-207 and CMMC compliance requirements.\nDefine and enforce network segmentation, micro-segmentation, and least-privilege access policies across all environments — for human users, devices, and AI agents alike.\nIntegrate identity-aware networking principles to ensure all users, devices, automated workloads, and AI agents are continuously verified before gaining network access.\nExtend Zero Trust policies to cover machine identities: define ZTNA access controls for AI agents, automation pipelines, and non-human actors operating within the network environment.\nCollaborate with the CISO and security teams to embed security-by-design into all network architectures and lifecycle decisions.\nManage secrets, credentials, and sensitive configuration data securely.\nSASE Design & Deployment\nLead the evaluation, selection, and deployment of SASE platforms to unify network and security functions at the edge.\nImplement Cloud Access Security Broker (CASB), Secure Web Gateway (SWG), and Firewall-as-a-Service (FWaaS) capabilities within the SASE framework.\nDrive the migration to a cloud-delivered, identity-centric access model.\nManage ongoing performance tuning, policy management, and vendor relationships for all SASE technologies.\nEnsure SASE policies explicitly address AI agent traffic, model API calls, and automated workload egress — not only human user sessions.\nAI Fabric Network Architecture\nDesign and operate the network as an AI transport fabric: architect low-latency, high-throughput network paths optimized for AI model inference traffic, LLM API calls, and real-time agent communication.\nDefine AI-aware Quality of Service (QoS) policies that prioritize AI workload traffic appropriately alongside standard enterprise traffic.\nCollaborate with the AI Engineering team to ensure the network layer meets the performance, reliability, and latency requirements of the AI Fabric and agent orchestration platforms.\nMonitor and optimize network performance for AI workloads using telemetry data, proactively identifying and remediating bottlenecks in the AI traffic path.\nCore Networking & Telecommunications\nOversee the operations of enterprise the campus network infrastructure.\nManage telecommunications infrastructure including voice, unified communications, and carrier relationships.\nEnsure network availability, capacity, and performance meet 99.99% SLA targets across all sites and remote environments.\nLead network lifecycle management including hardware refresh, end-of-life planning, and vendor contract negotiations.\nNetwork Automation & Self-Adapting Infrastructure\nChampion network automation using Ansible, Terraform, and Python-based scripting to eliminate manual configuration and reduce operational toil.\nImplement workflows for network configuration management, change control, and compliance auditing.\nDeploy network monitoring and observability platforms to enable proactive incident detection and AI-driven automated remediation.\nIntegrate network telemetry data into the AIOps platform to support intelligent operations, anomaly detection, and predictive capacity planning.\nBuild toward a self-adapting network model where AI systems can dynamically adjust routing, segmentation, and QoS policies in response to real-time demand signals — with appropriate human oversight thresholds.\nCompliance & Governance\nEnsure all network architectures and operations are compliant with NIST 800-171, CMMC Level 2, and applicable federal regulations.\nDevelop and maintain network security policies, standards, and runbooks that explicitly address AI agent network access and machine identity governance.\nParticipate in audits, assessments, and continuous monitoring programs to demonstrate compliance posture.\nProvide executive-level reporting on network health, AI workload performance, risk posture, and strategic initiatives.\nQualifications:\nQualifications\nEducation\nBachelor’s degree in Information Technology, Computer Science, Network Engineering, or related field.\nAbility to obtain and maintain CMMC Level 2 certification.\nExperience:\nA minimum of twelve (12) years of experience in network engineering and/or security operations.\nA minimum of five (5) years of experience in a senior or lead technical leadership capacity.\nDemonstrated hands-on experience implementing Zero Trust architectures in enterprise environments.\nDirect deployment experience with SASE platforms.\nStrong background in SD-WAN, LAN/WAN,, and enterprise switching.\nExperience designing or operating network infrastructure for AI or high-performance compute workloads preferred.\nFamiliarity with machine identity management and ZTNA policies for non-human actors (AI agents, automation pipelines).\nExperience with network automation tools including Ansible, Terraform, and Python.\nExperience in the government contractor/services industry preferred.\nU.S. Citizenship required; ability to obtain and maintain a security clearance\nOther Requirement:\nUnited States citizenship required.\nAbility to travel to project and customer locations as needed.\nPreferred Requrirements:\nMaster’s degree preferred.\nActive Secret security clearance desired.\nExperience with FedRAMP-authorized cloud networking platforms.\nFamiliarity with GPU cluster networking, InfiniBand, or RDMA over Converged Ethernet (RoCE).\nExperience with AI-aware QoS and network traffic engineering for LLM inference workloads.\nSkills:\nDeep expertise in Zero Trust frameworks and SASE architecture.\nUnderstanding of AI workload network requirements: low-latency inference, agent-to-agent traffic.\nKnowledge of machine identity management and ZTNA policy design for AI agents and automated systems.\nProficiency in network automation and infrastructure-as-code methodologies.\nStrong vendor management and contract negotiation capabilities.\nExcellent communication skills with the ability to present technical concepts to executive audiences.\nDemonstrated ability to lead cross-functional teams in complex, matrixed environments.\nWhat We Bring:\nAt V2X we strive to be market competitive in our total reward offerings.\nThe successful candidate’s starting pay will be based on, but not limited to, their job-related skills, experience, qualifications, work location, and market conditions.\nThe following salary range is intended to display the value of the company’s base pay compensation and may be modified at the discretion of the company.\nUSD $220,000 - $240,000\nProvided salary range minimum and maximum values correspond to variances between regional/geographic locations across the United States.\nPlease speak with a recruiter for additional information.\nEmployee benefits include the following:\nHealthcare coverage\nLife insurance, AD&D, and disability benefits\nRetirement plan\nWellness programs\nPaid time off, including holidays\nLearning and Development resources\nEmployee assistance resources\nPay and benefits are subject to change at any time and may be modified at the discretion of the company, consistent with the terms of any applicable compensation or benefit plans.\nAt V2X, we are deeply committed to both equal employment opportunity, including protection for Veterans and individuals with disabilities, and fostering an inclusive and diverse workplace. We ensure all individuals are treated with fairness, respect, and dignity, recognizing the strength that comes from a workforce rich in diverse experiences, perspectives, and skills. This commitment, aligned with our core Vision and Values of Integrity, Respect, and Responsibility, allows us to leverage differences, encourage innovation, and expand our success in the global marketplace, ultimately enabling us to best serve our clients.","company":"V2X","rawCompany":"v2x","city":"Remote","state":"OR","isRemote":false,"isActive":false,"createdAt":"2026-08-03T23:32:48.045Z","occupations":[{"code":"15-1241.00","title":"Computer Network Architects","slug":"computer-network-architects"},{"code":"15-1244.00","title":"Network and Computer Systems Administrators","slug":"network-and-computer-systems-administrators"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541519","title":"Other Computer Related Services","slug":"other-computer-related-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Director Adaptive Network Infrastructure & Security","description":"Overview:\nAbout Us:\n\nWorking across the globe, V2X builds smart solutions designed to integrate physical and digital infrastructure from base to battlefield. We bring 120 years of successful mission support to improve security, streamline logistics, and enhance readiness. Aligned around a shared purpose, our $4.5B company and 16,000 people work alongside our clients, here and abroad, to tackle their most complex challenges with integrity, respect, responsibility, and professionalism.\nResponsibilities:\nWhat You'll Do:\nThe Director of Adaptive Network Infrastructure & Security is a senior technical leadership role responsible for designing, implementing, and operating a modern, self-adapting, AI-optimized network that serves as the transport backbone for the organization’s enterprise AI Fabric. Reporting to the VP of Intelligent Automation and IT Operations, this leader will drive the transition to a Zero Trust architecture, manage all aspects of core networking and telecommunications, deploy Secure Access Service Edge (SASE) capabilities, and ensure the network is purpose-built to carry AI workloads — including low-latency inference traffic, and agent-to-agent communication. This role is critical to establishing a greenfield IT operational environment, building a network foundation that is resilient, AI-aware, and compliant from day one. In the AI-First IT model, infrastructure is no longer static and human-managed — it is dynamic, AI-optimized, and self-adapting. This director will lead that transformation.\nKey Responsibilities:\nZero Trust Architecture & Implementation\nArchitect and lead the enterprise-wide implementation of a Zero Trust Network Access (ZTNA) framework aligned to NIST 800-207 and CMMC compliance requirements.\nDefine and enforce network segmentation, micro-segmentation, and least-privilege access policies across all environments — for human users, devices, and AI agents alike.\nIntegrate identity-aware networking principles to ensure all users, devices, automated workloads, and AI agents are continuously verified before gaining network access.\nExtend Zero Trust policies to cover machine identities: define ZTNA access controls for AI agents, automation pipelines, and non-human actors operating within the network environment.\nCollaborate with the CISO and security teams to embed security-by-design into all network architectures and lifecycle decisions.\nManage secrets, credentials, and sensitive configuration data securely.\nSASE Design & Deployment\nLead the evaluation, selection, and deployment of SASE platforms to unify network and security functions at the edge.\nImplement Cloud Access Security Broker (CASB), Secure Web Gateway (SWG), and Firewall-as-a-Service (FWaaS) capabilities within the SASE framework.\nDrive the migration to a cloud-delivered, identity-centric access model.\nManage ongoing performance tuning, policy management, and vendor relationships for all SASE technologies.\nEnsure SASE policies explicitly address AI agent traffic, model API calls, and automated workload egress — not only human user sessions.\nAI Fabric Network Architecture\nDesign and operate the network as an AI transport fabric: architect low-latency, high-throughput network paths optimized for AI model inference traffic, LLM API calls, and real-time agent communication.\nDefine AI-aware Quality of Service (QoS) policies that prioritize AI workload traffic appropriately alongside standard enterprise traffic.\nCollaborate with the AI Engineering team to ensure the network layer meets the performance, reliability, and latency requirements of the AI Fabric and agent orchestration platforms.\nMonitor and optimize network performance for AI workloads using telemetry data, proactively identifying and remediating bottlenecks in the AI traffic path.\nCore Networking & Telecommunications\nOversee the operations of enterprise the campus network infrastructure.\nManage telecommunications infrastructure including voice, unified communications, and carrier relationships.\nEnsure network availability, capacity, and performance meet 99.99% SLA targets across all sites and remote environments.\nLead network lifecycle management including hardware refresh, end-of-life planning, and vendor contract negotiations.\nNetwork Automation & Self-Adapting Infrastructure\nChampion network automation using Ansible, Terraform, and Python-based scripting to eliminate manual configuration and reduce operational toil.\nImplement workflows for network configuration management, change control, and compliance auditing.\nDeploy network monitoring and observability platforms to enable proactive incident detection and AI-driven automated remediation.\nIntegrate network telemetry data into the AIOps platform to support intelligent operations, anomaly detection, and predictive capacity planning.\nBuild toward a self-adapting network model where AI systems can dynamically adjust routing, segmentation, and QoS policies in response to real-time demand signals — with appropriate human oversight thresholds.\nCompliance & Governance\nEnsure all network architectures and operations are compliant with NIST 800-171, CMMC Level 2, and applicable federal regulations.\nDevelop and maintain network security policies, standards, and runbooks that explicitly address AI agent network access and machine identity governance.\nParticipate in audits, assessments, and continuous monitoring programs to demonstrate compliance posture.\nProvide executive-level reporting on network health, AI workload performance, risk posture, and strategic initiatives.\nQualifications:\nQualifications\nEducation\nBachelor’s degree in Information Technology, Computer Science, Network Engineering, or related field.\nAbility to obtain and maintain CMMC Level 2 certification.\nExperience:\nA minimum of twelve (12) years of experience in network engineering and/or security operations.\nA minimum of five (5) years of experience in a senior or lead technical leadership capacity.\nDemonstrated hands-on experience implementing Zero Trust architectures in enterprise environments.\nDirect deployment experience with SASE platforms.\nStrong background in SD-WAN, LAN/WAN,, and enterprise switching.\nExperience designing or operating network infrastructure for AI or high-performance compute workloads preferred.\nFamiliarity with machine identity management and ZTNA policies for non-human actors (AI agents, automation pipelines).\nExperience with network automation tools including Ansible, Terraform, and Python.\nExperience in the government contractor/services industry preferred.\nU.S. Citizenship required; ability to obtain and maintain a security clearance\nOther Requirement:\nUnited States citizenship required.\nAbility to travel to project and customer locations as needed.\nPreferred Requrirements:\nMaster’s degree preferred.\nActive Secret security clearance desired.\nExperience with FedRAMP-authorized cloud networking platforms.\nFamiliarity with GPU cluster networking, InfiniBand, or RDMA over Converged Ethernet (RoCE).\nExperience with AI-aware QoS and network traffic engineering for LLM inference workloads.\nSkills:\nDeep expertise in Zero Trust frameworks and SASE architecture.\nUnderstanding of AI workload network requirements: low-latency inference, agent-to-agent traffic.\nKnowledge of machine identity management and ZTNA policy design for AI agents and automated systems.\nProficiency in network automation and infrastructure-as-code methodologies.\nStrong vendor management and contract negotiation capabilities.\nExcellent communication skills with the ability to present technical concepts to executive audiences.\nDemonstrated ability to lead cross-functional teams in complex, matrixed environments.\nWhat We Bring:\nAt V2X we strive to be market competitive in our total reward offerings.\nThe successful candidate’s starting pay will be based on, but not limited to, their job-related skills, experience, qualifications, work location, and market conditions.\nThe following salary range is intended to display the value of the company’s base pay compensation and may be modified at the discretion of the company.\nUSD $220,000 - $240,000\nProvided salary range minimum and maximum values correspond to variances between regional/geographic locations across the United States.\nPlease speak with a recruiter for additional information.\nEmployee benefits include the following:\nHealthcare coverage\nLife insurance, AD&D, and disability benefits\nRetirement plan\nWellness programs\nPaid time off, including holidays\nLearning and Development resources\nEmployee assistance resources\nPay and benefits are subject to change at any time and may be modified at the discretion of the company, consistent with the terms of any applicable compensation or benefit plans.\nAt V2X, we are deeply committed to both equal employment opportunity, including protection for Veterans and individuals with disabilities, and fostering an inclusive and diverse workplace. We ensure all individuals are treated with fairness, respect, and dignity, recognizing the strength that comes from a workforce rich in diverse experiences, perspectives, and skills. This commitment, aligned with our core Vision and Values of Integrity, Respect, and Responsibility, allows us to leverage differences, encourage innovation, and expand our success in the global marketplace, ultimately enabling us to best serve our clients.","datePosted":"2026-08-03T23:32:48.045Z","dateModified":"2026-08-03T23:32:48.045Z","hiringOrganization":{"@type":"Organization","name":"V2X","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote","addressRegion":"OR","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"cbc2e82fef09acbc79917b90"},"url":"https://jobsearcher.com/jobs/cbc2e82fef09acbc79917b90"}}