Federal IT contractor delivering cloud, cybersecurity and data services
Softthink Solutions is a Leesburg-based federal IT services firm whose stack centers on security tooling (Splunk, Microsoft Sentinel, Tenable, Qualys, Zscaler, Okta) alongside AWS GovCloud and Azure Government. Its project work points to a Google SecOps SIEM/SOAR build-out with MITRE ATT&CK-aligned detections, and accelerating, senior-weighted hiring split between engineering and security suggests a scaling security operations practice.
Notable leadership hires: Project Lead
Softthink Solutions is a privately held IT services company headquartered in Leesburg, Virginia, founded in 2003 and sized at 51–200 employees. It serves U.S. federal agencies with cloud, cybersecurity and data analytics work, holding small-business certifications including 8(a), HUBZone and WOSB. Its delivery spans government cloud environments on AWS and Azure, security operations, Salesforce development and enterprise data integration. The firm also works on student information system modernization and compliance programs such as RMF and FedRAMP High.
Softthink's stack includes Azure, Azure Government, AWS GovCloud, Splunk, Microsoft Sentinel, Microsoft Defender, Tenable, Qualys, Okta, Zscaler, Palo Alto Networks, ServiceNow and Salesforce with Apex and Lightning Web Components.
Yes. Hiring is accelerating and concentrated in engineering and security, mostly at senior level, with U.S.-based work on SIEM/SOAR configuration, detection engineering and threat intelligence integration.
Softthink Solutions is headquartered in Leesburg, Virginia, United States. It was founded in 2003 and has 51–200 employees.
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Softthink Solutions'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.