Cloud and AI engineering for U.S. national security missions
Edgesource delivers data, cloud, and AI/ML solutions to U.S. intelligence, defense, and homeland security agencies. The tech stack—.NET Core, Python, Kubernetes, AWS/Azure/GCP, and specialized tools like DOORS and DoDAF—reflects a defense contractor optimized for regulated, multi-cloud environments. Active hiring is heavily skewed toward senior engineers (14 of 22 open roles), signaling a push to scale modernization efforts: cloud-first infrastructure redesigns, Kubernetes migrations, and systems-of-systems integration projects are all live simultaneously.
Notable leadership hires: Growth Director
Edgesource is a national security contractor founded in 1997, based in Alexandria, Virginia, with 51–200 employees. The company operates at the intersection of data engineering, cloud infrastructure, and AI/ML for U.S. government agencies across intelligence, defense, state, and homeland security. The organization maintains a SCIF-accredited facility, CMMI Level 3 certification, and a workforce where 98% hold security clearances (92% retention). Core delivery areas include real-time intelligence fusion, multi-cloud scaling, and counter-UAS operations. Recent project activity centers on modernization: migrating legacy enterprise systems to Kubernetes, redesigning infrastructure for cloud-first architecture, and integrating large-scale systems-of-systems platforms.
Edgesource uses .NET Core, C#, Python, JavaScript, Angular, Java, and TypeScript for application development. Infrastructure relies on AWS, Azure, GCP, Kubernetes, Docker, and Terraform. Specialized tools include DOORS Next Generation, Tableau, SysML, DoDAF, and Synthetic Aperture Radar processing.
Edgesource is headquartered in Alexandria, Virginia. The company operates a SCIF-accredited facility and maintains a workforce of 51–200 employees, 98% of whom hold security clearances.
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Edgesource Corporation'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 →
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