Federal IT modernization and healthcare systems integrator
Futrend builds full-stack IT services for federal agencies, with deep specialization in healthcare IT and grants management. The tech stack reveals a multi-platform modernization effort: Spring/Hibernate legacy, React/TypeScript frontend, and AWS/Azure cloud, with active adoption of AWS GovCloud and Java Development Kit. The engineering-forward hiring mix (8 engineers vs. 3 security roles) paired with a Python Technical Lead and heavy project load around legacy monolith transformation and security analytics dashboards suggests an organization mid-transition from older enterprise Java/JSP toward cloud-native federal stacks.
Notable leadership hires: Python Technical Lead
Futrend Technology operates as a full-service IT consulting firm focused on federal government and healthcare sector clients. The company delivers end-to-end system integration, enterprise application modernization, and mission-critical real-time systems for federal agencies. Current project portfolio centers on legacy application modernization, cloud migration (particularly AWS GovCloud), security analytics dashboards, and enterprise web application development. With 51–200 employees based in Vienna, VA, the organization emphasizes customer focus and mission alignment, backed by a technical staff oriented toward complex federal compliance and security requirements.
Futrend uses Spring MVC, Hibernate, PostgreSQL, MySQL, React, TypeScript, Node.js, AWS, Azure, GCP, and Oracle, with current adoption of AWS GovCloud, Java Development Kit, and React modernization efforts.
Current projects include architectural transformation of legacy monoliths, cloud modernization to AWS GovCloud, enterprise web application modernization, scalable security analytics dashboards, and audit-ready security reporting for federal clients.
Futrend Technology, Inc.'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.