IT staffing and banking software for regulated financial services
Bevertec operates two distinct lines of business: IT staffing across government, financial services, and manufacturing verticals, and banking/finance software serving regulated institutions. The tech stack reveals a legacy-to-cloud migration in progress—Oracle and SQL Server are being replaced while Azure, AWS, and GCP adoption accelerates alongside Dynamics 365 implementations. Current hiring is skewed toward senior engineering roles (23 of 38 open positions) and concentrated in Canada and Peru, suggesting both domestic delivery scaling and nearshore staffing expansion.
Founded in 1981, Bevertec is a Canadian IT services firm based in Mississauga, Ontario, operating across two business units: professional IT staffing and banking software solutions. The staffing practice places IT professionals into roles across financial services, government agencies, manufacturing, communications, and transportation sectors in over 38 countries. The software division develops banking, fintech, and e-commerce solutions for regulated clients, with current focus on healthcare modernization (EHR systems, PHIPA compliance), core banking platform enhancements, and legacy data migration to cloud infrastructure. The company spans 51–200 employees with an engineering-heavy hiring profile.
Bevertec builds on Java, C#/.NET, Oracle, and SQL Server as legacy foundations, with active adoption of Azure, AWS, GCP, Dynamics 365, and Microsoft Fabric. Security and identity infrastructure includes Okta, Ping Identity, Azure AD, OAuth 2.0, and SAML.
Current projects include PHIPA-aligned EHR modernization for Ontario health systems, core banking integration enhancements, legacy data migration to Dynamics 365, AI orchestration development, and simulation software with hardware sensor integration.
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Bevertec'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.