Government software and mission-critical cloud solutions for defense and federal agencies
GXM Technologies builds cloud-native, AI-enabled software for U.S. defense and federal mission operations. The tech stack reveals a dual focus: cross-platform mobile delivery (.NET MAUI, Flutter, React Native, Xamarin) paired with enterprise backend infrastructure (Azure Government, SQL Server, Java, C#). Active hiring tilts heavily toward senior and lead engineers (7 of 12 open roles), suggesting both complex technical delivery and a push to scale delivery velocity across multiple concurrent modernization programs.
Founded in 2008, GXM Technologies is a 51–200-person, privately held government contractor based in Arlington, Virginia. The company partners with defense and federal agencies to modernize mission-critical systems, combining strategy, engineering, data, and operations expertise. Their focus spans cloud migration, C2 (command and control) system modernization, emerging technology evaluation, and mobile app deployment to non-standard government device ecosystems. GXM holds CMMC Level 2, CMMI Level 3, and ISO 9001 certifications. Beyond direct software delivery, they operate an internal innovation program supporting federal investment evaluation and interagency technology transition efforts.
Cross-platform mobile: .NET MAUI, Flutter, React Native, Xamarin. Backend: C#, Java, SQL Server, Azure Government. Analytics and visualization: Power BI, Tableau, SAS. Automation and infrastructure: PowerShell, Kubernetes-adjacent orchestration, Infrastructure as Code patterns.
Arlington, Virginia. Founded in 2008, the company employs 51–200 people and is privately held.
GXM Technologies's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.