Federal IT contractor building geospatial, cloud and AI mission systems
Niyam IT is a Leesburg-based government IT services firm whose stack pairs Java/Spring Boot and Angular with ArcGIS Online, Flutter mobile, and ML tooling across all three clouds (SageMaker, Vertex AI, Azure ML). Deltek Costpoint in the stack confirms a federal contracting back office, and an accelerating, senior-heavy engineering hiring push points to active program work on radar spectrum relocation and IBM Maximo asset management.
Notable leadership hires: Human Resources Director
Niyam IT is a privately held IT services company headquartered in Leesburg, Virginia, with 51–200 employees. It serves federal and commercial clients in the DC metro area and beyond, with mission areas spanning emergency response, natural resource management, law enforcement, public health and citizen services. Its offerings cover IT consulting and management, implementation, engineering, development, and operations and maintenance support. Core capabilities include data science, GIS applications, Agile and DevSecOps delivery, cloud engineering, and identity and access management.
Niyam IT works with Java, Spring Boot, Angular, React, Next.js, Flutter, Python, PostgreSQL and Kubernetes across AWS, Azure and GCP, plus ArcGIS Online, ServiceNow, Salesforce and Deltek Costpoint.
Yes. Hiring is accelerating and concentrated in engineering, weighted toward senior and principal levels, with roles based in the United States. A Human Resources Director role is also open.
Current work includes AI integration into mobile and web apps, radar site and spectrum relocation analysis, cloud CI/CD DevSecOps pipelines, and IBM Maximo reporting, workflow automation and asset data modeling.
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Niyam IT'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.