Defense and intelligence software contractor serving DoD and federal agencies
NextGen Federal Systems builds custom software and IT infrastructure for Department of Defense and intelligence agencies. The stack spans legacy (Mainframe, Oracle, Visual Basic) and modern (AWS GovCloud, Kubernetes, Kafka, Elasticsearch), with active projects around aircraft instrumentation data collection and mainframe-to-cloud migration—typical of contractors managing decades-old mission systems alongside newer microservices. Hiring is concentrated in engineering and security roles, reflecting the compliance and operational complexity of federal contracting.
NextGen Federal Systems is a defense and intelligence contractor based in Morgantown, West Virginia, with satellite offices near Aberdeen, Fort Meade, Dayton, and O'Fallon. Founded in 2011, the company now operates at 201–500 employees and serves the Department of Defense, federal agencies, and select commercial customers. The business model combines services and custom solution development across software engineering, systems integration, research and development, cybersecurity, and data management. ISO 9001 and CMMI Level 3 certifications anchor quality and process maturity. Current operational priorities include cloud migration (particularly to AWS GovCloud), legacy system modernization, and instrumentation data capture for military platforms.
Python, C++, Java, AWS, AWS GovCloud, Kubernetes, Docker, PostgreSQL, Oracle, Kafka, Elasticsearch, Jenkins, and legacy platforms including Visual Basic, PowerBuilder, and Mainframe systems. Also uses specialized tools: STK, Ansys, HFSS, Unreal Engine, and SysML.
Major initiatives include mainframe-to-AWS GovCloud microservices migration, Elasticsearch transition for investigative search, aircraft instrumentation data collection (F-35, F-22, F-15E, F-16), operational test data systems, and large-scale IT efficiency and security improvements for federal systems.
NextGen Federal Systems'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.