IT staffing and consulting firm specializing in application development and test engineering
Golden Technology is a 51–200 person IT staffing and consulting firm based in Ohio that sources contract, contract-to-hire, and permanent placements. The tech stack reveals a heavy Microsoft-Azure focus (.NET, C#, SQL Server, Azure DevOps, Power BI) paired with modern data and ML tooling (Databricks, PySpark, Kubernetes), and the active project list shows the firm is building internal AI/data capabilities—deep learning recommendation systems, analytics pipelines, and an AI hub platform—rather than purely staffing others. This suggests Golden is evolving from labor arbitrage toward owning IP and delivery.
Golden Technology is an IT staffing and consulting firm headquartered in Glendale, Ohio, founded in 1996. The company places IT professionals across contract, contract-to-hire, and permanent roles for mid-market and enterprise clients. Alongside staffing, Golden operates its own product and platform initiatives: customer analytics pipelines, recommendation systems for retail and e-commerce, financial planning tool enhancements, and transportation application development. The hiring velocity is accelerating with 20 open roles heavily weighted toward senior engineers and data roles, indicating growth in both service delivery and internal platform development.
Golden's stack is anchored in Microsoft enterprise (.NET, C#, Azure, SQL Server, Azure DevOps, Power BI), with modern data/ML tools (Databricks, PySpark, Kubernetes, Terraform) and desktop virtualization (VMware, Azure Virtual Desktop). Testing and mobile stacks include Playwright, Appium, React Native, and Xamarin.
Beyond staffing, Golden is building deep learning recommendation systems, customer analytics dashboards, an AI hub platform, managed transportation applications, and automations for payroll and financial planning. Key pain points include scaling recommendation systems, PCI compliance, and managing multiple concurrent high-priority projects.
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Golden Technology'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.