Tech staffing and consulting for legacy modernization and Microsoft-stack builds
Ubertal is a San Mateo-based technology services and staffing firm whose current job posts read like client engagement briefs: legacy ASP.NET-to-modern .NET migrations, licensing and eligibility app rebuilds, and a BigQuery-to-SQL warehouse data move. The stack spans Azure, C#, SQL Server and Power BI alongside mainframe-era DB2, z/OS and Visual Basic, pointing to public-sector and healthcare modernization work rather than greenfield product.
Ubertal Inc. is a privately held technology services company founded in 2011 and headquartered in San Mateo, California. It provides technology consulting, staffing, recruiting and executive recruiting, and has developed proprietary and jointly owned software solutions with clients. The firm employs 201–500 people and currently hires in the United States. Its placements and projects cover Microsoft and Azure development, integration platforms such as MuleSoft and Boomi, enterprise systems including SAP, Salesforce and ServiceNow, and engineering design tools from Bentley.
Ubertal's stack centers on Azure, .NET, C#, ASP.NET MVC, SQL Server and Power BI, with React, Python, BigQuery, MuleSoft, Boomi, Salesforce, SAP, ServiceNow, plus legacy DB2, Oracle and z/OS.
Current work includes modernizing licensing and eligibility applications, cloud-native development, AI integration, a data conversion initiative, and building an enterprise design system with a reusable component library.
Ubertal is headquartered in San Mateo, California, was founded in 2011, has 201–500 employees, and currently hires in the United States.
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Ubertal Inc.'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.