Federal IT modernization and systems engineering for government agencies
HunaTek is a 25-year-old federal contractor anchored in Azure infrastructure and enterprise automation. The tech stack reveals heavy reliance on Microsoft ecosystem (Azure, DevOps, PowerShell, Bicep) paired with Python-based data tooling (Pandas, Polars, SQLAlchemy) — a pattern typical of government modernization shops. Current projects span GenAI policy implementation and low-code automation, while pain points cluster around compliance (CMMC Level II recertification), master data standardization, and cost control — signaling internal scaling friction common in federal contractors moving faster than their operational infrastructure.
HunaTek provides program management, systems engineering, and IT modernization services to federal government clients. Founded in 1999 and based in Herndon, VA, the company operates across project management, business analysis, cyber security, and staff augmentation — disciplines that map directly to federal procurement and compliance requirements. The workforce is predominantly senior-level practitioners, with current hiring concentrated in operations and finance roles, alongside selective engineering and security additions. Work spans critical information systems maintenance, IT infrastructure design, and emerging initiatives like enterprise GenAI governance and business process automation.
HunaTek runs primarily on Microsoft Azure (VMs, Storage, SQL, Data Factory, DevOps), with infrastructure-as-code via Terraform and Bicep, scripting in Python and PowerShell, and data processing using Pandas and Polars. Networking includes Cisco and SD-WAN; visualization via Power BI.
Yes. HunaTek has 2 active engineering roles with accelerating hiring velocity. Current openings also include 4 operations, 3 finance, and 1 security position, predominantly at senior level.
Herndon, Virginia. The company was founded in 1999 and remains privately held, with all current hiring concentrated in the United States.
HunaTek'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.