Technology staffing and managed IT services provider with emerging blockchain infrastructure focus
Lighthouse Technology Services operates a hybrid staffing + managed services model, but the tech stack reveals an unexpected strategic pivot: the adoption of blockchain tools (Solidity, ERC-20/721, Chainalysis) alongside core IT infrastructure (Azure, Active Directory, Fortinet) signals active development of crypto coin and blockchain network infrastructure. Current hiring is concentrated in senior engineering and product roles, suggesting they're scaling in-house development rather than pure staffing labor.
Lighthouse Technology Services is a technology staffing and managed IT services firm founded in 2004, headquartered in Buffalo, New York, and serving clients across the United States and Canada. The company operates three primary service lines: direct-hire technical recruitment, contract and contract-to-hire staffing, and managed or co-managed IT services including security and infrastructure support. With 51–200 employees, Lighthouse manages a diverse client base ranging from small businesses to larger enterprises seeking technology talent solutions and operational IT support.
Current projects include automation of internal processes, platform integrations, enhancements to internal products, proprietary crypto coin infrastructure, blockchain network operations, and crypto coin interoperability solutions, alongside customer validation and market requirements documentation.
Core stack includes Azure DevOps, Jira, Power BI, Active Directory, Microsoft Exchange, Fortinet, Kubernetes, and .NET; emerging blockchain tools include Solidity, ERC-20/721 standards, and Chainalysis for blockchain analytics.
Lighthouse Technology Services'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.