Housing automation platform for universities, colleges, and property managers
StarRez operates a 30+ year-old housing and property management platform serving over 1,400 customers across universities, colleges, and private operators. The tech stack reveals a company mid-migration: PHP and .NET backend paired with active adoption of Node.js, TypeScript, and React, while projects show focus on data quality, AI capability-building, and infrastructure automation. Leadership hiring (13 senior roles) alongside engineering and product expansion suggests scaling both product velocity and customer-facing functions to address platform reliability and performance pain points that have accumulated in the legacy codebase.
Notable leadership hires: Technical Lead
StarRez provides housing accommodation automation software for residential communities, serving over 3 million beds under management worldwide. The customer base spans university housing, college operations, private property managers, and conference events management across North America, UK, Europe, Australia, New Zealand, Asia, and the Middle East. The platform integrates conduct management, room inspection, roommate matching, and student intake workflows. The company operates from Greenwood Village, Colorado with distributed hiring across the United States, United Kingdom, Australia, and India.
StarRez runs PHP, .NET, and C# on the backend with JavaScript and Oracle/Azure SQL databases. The stack includes Salesforce, Azure Data Factory, dbt, Apache Airflow, and Fivetran for data integration. The company is actively migrating to Node.js, TypeScript, and React.
StarRez manages over 3 million beds across 1,400 customers worldwide, primarily universities, colleges, private property managers, and conference operators in North America, Europe, Asia-Pacific, and the Middle East.
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StarRez, Inc.'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 →
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