Microsoft-native digital transformation and cloud services for enterprise
WaferWire is a 200+ person Microsoft-centric services firm built around Azure, Dynamics 365, Power Platform, and emerging AI tooling (Google Gemini adoption underway). The engineering-heavy hiring mix—13 open roles skewed senior—paired with active projects around observability, CRM migration, and agentic AI suggests a shift toward managed services and operational depth rather than pure implementation. Pain-point concentration around Dynamics customization debt and build-pipeline optimization indicates they're solving post-deployment friction for customers stuck in legacy on-prem transitions.
WaferWire Cloud Technologies partners with mid-market and enterprise customers across Healthcare, Retail, Financial Services, Manufacturing, Education, and Utilities to modernize IT infrastructure and accelerate cloud adoption. Founded in 2010 and headquartered in Redmond, the company delivers end-to-end digital transformation, cloud enablement, AI integration, data engineering, and SRE/DevOps services. The technical backbone is Microsoft-heavy—Azure, Dynamics 365, Power Platform, Synapse, and Fabric—supplemented by observability (Grafana), orchestration (Kubernetes), and development languages (Java, TypeScript, C#, Python). Teams operate across the United States, India, Europe, Australia, and Mexico, serving customers through design, build, and managed operations phases.
Azure ecosystem (AKS, Data Factory, Synapse, SQL Managed Instance), Dynamics 365, Power Platform, Power BI, Fabric, Grafana, Google Gemini, plus development in Java, TypeScript, .NET, C#, React, and Python.
Healthcare, Retail, Utility, Education, Financial Services, and Manufacturing, with a focus on cloud migration, Dynamics 365 modernization, and data platform enablement.
WaferWire Cloud Technologies'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.