Federal IT contractor delivering AI, identity, and legacy modernization
Ignite IT is an Ashburn-based federal contractor whose job posts point to census-style survey work: an LLM autocoder, OR-Tools routing for field operations, and an enterprise SAS-to-Python/R migration. The adopting list (NumPy, Pandas, SciPy, statsmodels, tidyverse) shows the analytics stack moving off SAS. A heavy identity and network-security stack (SailPoint, Okta, ForgeRock, Palo Alto, Cisco Firepower) and a senior-skewed, engineering-led hiring mix signal delivery-ready teams.
Notable leadership hires: Technical Lead
Ignite IT is a privately held IT services firm founded in 2018 and headquartered in Ashburn, Virginia, with 201–500 employees. It delivers AI, cybersecurity, DevSecOps, cloud, low-code, and human-centered design services primarily to large federal agencies, with named work across HHS, DHS, AOUSC, and the Army. The company holds CMMI-SVC Level 3 and ISO 20000-1, 27001, and 9001 certifications. Delivery spans application modernization, identity and access management, network security, and data science, staffed from the United States.
Ignite IT works with Python, Java, Spring Boot, Angular, AWS, Azure, Docker, Kubernetes, and ServiceNow, plus identity tools like SailPoint, Okta, and ForgeRock and network security from Palo Alto Networks and Cisco.
Current projects include an LLM autocoder system, routing and scheduling algorithms for field operations, survey pilot expansion, CBP enterprise application modernization, and an enterprise SAS-to-Python/R migration.
Ignite IT is headquartered in Ashburn, Virginia, and hires in the United States, with a senior-heavy mix focused on engineering, data, and security roles.
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Ignite 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.