Third-party data center hardware maintenance and IT infrastructure services
Park Place Technologies provides post-warranty hardware maintenance, network monitoring and infrastructure services for enterprise data centers. Internally it runs a Microsoft-centric stack (.NET, C#, Azure, SQL Server, Azure DevOps, Power Platform) while adopting AWS and GCP, which points toward multi-cloud service capability. Accelerating hiring weighted toward sales, engineering and support, plus pains around part availability and downtime, show a field-service business scaling global coverage.
Park Place Technologies is a privately held IT infrastructure services company founded in 1991 and headquartered in Cleveland, Ohio. It supports organizations' data center and networking equipment through maintenance and support, hardware upgrades and installation, equipment relocation, hardware disposal and IT asset management. Its portfolio also includes managed services, professional services, performance assessments and network monitoring. The company employs 1,001–5,000 people and hires across the United States, United Kingdom, Mexico, India, Malaysia, Japan and China.
Park Place Technologies runs a Microsoft-heavy stack: .NET, C#, Azure, SQL Server, Azure SQL, Cosmos DB, Azure DevOps, Azure Data Factory and Power Platform, with Angular, React, TypeScript and Databricks also in use.
Park Place Technologies is headquartered in Cleveland, Ohio, and hires in the United States, United Kingdom, Mexico, India, Malaysia, Japan and China.
Yes. Hiring is accelerating, led by sales, engineering and support roles, with additional openings in operations, HR, finance, data and legal across junior to senior levels.
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Park Place 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.