Microsoft Cloud Solution Provider with in-house engineering and financial operations focus
TrustedTech is a Microsoft Cloud Solution Provider (CSP) built around certified Microsoft architects and engineers serving mid-market and enterprise clients. The tech stack reveals a dual operational engine: a Microsoft-centric delivery side (Azure, Entra ID, Intune, ExpressRoute) paired with a data and finance automation backbone (Databricks, dbt, Prefect, PySpark, Power BI). Active migration from Azure Synapse to Microsoft Fabric, combined with heavy investment in financial systems optimization and RevOps infrastructure, signals a shift toward internal analytics maturity and subscription billing accuracy — traditionally painful areas for CSPs managing complex per-customer licensing.
TrustedTech is a privately held Microsoft Cloud Solution Provider based in Irvine, California, founded in 2017. The company holds all 6 Microsoft Solutions Partner Designations and operates a U.S.-based team of Microsoft-certified architects and engineers delivering cloud services, perpetual licensing, and support to medium and enterprise-sized organizations. Beyond partner delivery, TrustedTech operates its own financial and operational backbone, evidenced by active implementations of NetSuite and Paycom, orchestrated data pipelines using Prefect and PySpark, and distributed analytics on Databricks. Current hiring spans finance, sales, data, marketing, operations, and support roles across the United States and United Kingdom.
TrustedTech uses Azure, Azure DevOps, Terraform, Databricks, dbt, Prefect, PySpark, Power BI, and Salesforce on the delivery and analytics side; NetSuite and Paycom for finance/HR; CrowdStrike, Barracuda, and Azure Entra ID for security. The company is adopting Microsoft Fabric and migrating from Azure Synapse Analytics.
TrustedTech is headquartered in Irvine, California, and employs 201–500 people. The company hires U.S.-based Microsoft architects and engineers and is expanding hiring to the United Kingdom.
TrustedTech'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.