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WaferWire Cloud Technologies Tech Stack

Microsoft-native digital transformation and cloud services for enterprise

Software Development Redmond, Washington 201–500 employees Founded 2010 Privately Held

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.

Tech Stack 114 technologies

Core StackPower Platform Power Apps Java Grafana Azure Data Factory Power BI Angular TypeScript JavaScript Power Automate .NET ServiceNow React C# Python OneNote Dynamics 365 Customer Engagement Dataverse Google Gemini Azure Azure Kubernetes Service Synapse Azure SQL Managed Instance Fabric Azure Migrate AWS Database Migration Service HCX HTML5 Kusto Azure Cache for Redis+84 more

What WaferWire Cloud Technologies Is Building

Challenges

  • Digital transformation in education
  • Optimizing build pipelines
  • Building educator capacity
  • Performance issues caused by customizations
  • Troubleshooting customization issues
  • Enhancing observability
  • Operational visibility for infrastructure and supply-chain workflows
  • Upgrading and migrating on-prem dynamics crm
  • Maintaining system stability
  • Service reliability improvement

Active Projects

  • Nowassist and agenticai implementation
  • Large-scale data center infrastructure
  • Center of excellence for program management
  • Api/system health dashboards
  • Develop reusable assets, case studies, and solution accelerators for healthcare offerings
  • Operational dashboards
  • Telemetry visualization systems
  • Real-time monitoring interfaces
  • Crm upgrades and migration initiatives
  • Scalable crm solution architecture

Hiring Activity

Accelerating20 roles · 20 in 30d

Department

Engineering
13
Sales
2
Data
1
HR
1
Support
1
Training
1

Seniority

Senior
11
Mid
6
Lead
2
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About WaferWire Cloud Technologies

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.

HeadquartersRedmond, Washington
Company Size201–500 employees
Founded2010
Hiring MarketsUnited States, India, Canada

Frequently Asked Questions

What tech stack does WaferWire use?

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.

What industries does WaferWire serve?

Healthcare, Retail, Utility, Education, Financial Services, and Manufacturing, with a focus on cloud migration, Dynamics 365 modernization, and data platform enablement.

How this profile is built

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.