Principal Azure and M365 Cloud Architect - TS/SCI with Polygraph at General Dynamics in Chantilly, VA

Job description

Type of Requisition: Regular Clearance Level Must Currently Possess: Top Secret SCI + Polygraph Clearance Level Must Be Able to Obtain: Top Secret SCI + Polygraph Public Trust/Other Required: None Job Family: IT Infrastructure and Operations Job Qualifications: Skills: Cloud Architectures, Cloud Engineering, Enterprise Infrastructures Certifications: None Experience: 10 + years of related experience US Citizenship Required: Yes Job Description: Key Responsibilities: Define and govern Azure landing-zone, subscription/management-group, tenant, network, identity, policy, logging, key-management, and workload-placement patterns appropriate to each enclave and classification boundary. Document UMIS architecture and SCMIS hybrid Exchange/M365 decisions as reusable reference patterns with assumptions, constraints, and known exceptions. Architect AVD/EUC, Intune, Windows 11 endpoint management, Defender for Endpoint, Sentinel, Exchange hybrid, Teams/collaboration, backup/recovery, and service continuity. Define Infrastructure as Code, CI/CD, artifact, image, configuration, and promotion standards with the Cloud Platform/DevSecOps Engineers. Partner with Security to develop control implementation, inheritance, logging, evidence, and cATO-ready continuous monitoring patterns. Partner with Service Operations to define capacity, observability, SLOs, incident response, change windows, patching, and operational acceptance. Evaluate Microsoft, WWT, Dell, and other partner capabilities; make evidence-based product and service recommendations without outsourcing architecture ownership. Lead cloud architecture reviews, mentor engineers, and brief Government and program leadership on migration risk, cost, readiness, and trade-offs. Required qualifications Education: Bachelor's degree in Computer Science, Information Technology, Cloud Engineering, Software Engineering, or a related field, or approved equivalent experience. Location: Onsite Clearance: Active TS/SCI with Polygraph 10+ years of enterprise infrastructure/cloud engineering experience, including 5+ years designing and delivering Microsoft Azure and M365 solutions. Hands-on architecture experience with Azure Government and/or M365 government cloud boundaries, including GCC or GCC High considerations. Deep experience with Azure networking, tenant/subscription governance, Entra ID, Conditional Access, RBAC/PIM, policy, logging, and security controls. Strong experience with at least three of the following: AVD, Intune, Windows endpoint management, Exchange hybrid, Teams, Defender for Endpoint, Sentinel, Azure Monitor, backup/recovery, or migration tooling. Experience developing phased migration roadmaps for heterogeneous applications, identities, endpoints, and data across multiple enclaves or business units. Working knowledge of IaC, CI/CD, containers, internal artifact management, and secure promotion in restricted environments. Strong understanding of RMF, ATO boundary impacts, STIGs, Zero Trust, data classification, control evidence, and operational readiness. Demonstrated technical leadership, mentoring, vendor management, and ability to brief technical and executive Government stakeholders. Preferred Qualifications Microsoft Certified: Azure Solutions Architect Expert and Microsoft 365 Certified: Administrator Expert. Identity and Access Administrator Associate, Cybersecurity Architect Expert, Azure Administrator Associate and Azure Virtual Desktop Specialty are complementary. Full certification prerequisites apply. Experience designing contractor-operated managed services, service catalogs, FinOps practices, license optimization, and SLA-based platform operations. Experience integrating Azure/M365 with Cisco ISE/TrustSec, ServiceNow ITOM/CMDB, Dynatrace, Aternity, Sentinel/SIEM, and automated patch/evidence workflows. Prior DoW/IC cloud migration experience, including disconnected or high-side engineering constraints. Experience with Azure AI Services or locally hosted AI workloads