Disaster recovery, debris removal and emergency response for government clients
Ceres Environmental Services runs disaster recovery and debris removal operations for public-sector clients, but its job posts reveal a parallel tech build: a field-first platform pulling drone, sensor and LiDAR data into mobile and web apps that must work offline. A mixed .NET, Angular, React and OutSystems stack with ArcGIS points to in-house GIS tooling, while an ops-dominated hiring mix and proposal-workload pressure show a contract-driven business scaling field capacity.
Notable leadership hires: Managing Director, Human Resources Director
Ceres Environmental Services is a privately held company founded in 1976 and headquartered in Sarasota, Florida. It provides crisis response, disaster recovery, debris removal, demolition, levee work, tree service, wood recycling and fire mitigation. Its clients are federal, state and local government agencies, served through government contracting. The company employs 201–500 people and supports emergency activations across the United States and Puerto Rico, including blue roof response operations.
Ceres uses ArcGIS, Azure, .NET/C#, ASP.NET MVC, Angular, React, Vue, OutSystems and Node.js, with SQL Server, PostgreSQL, MongoDB and Oracle databases, plus NetSuite, QuickBooks, Workday, ADP and Paycom for back office.
Projects include debris removal and blue roof disaster operations, incident data analytics, a claims management program, and a field-first platform integrating drone, sensor and LiDAR data into mobile and web apps.
Ceres is headquartered in Sarasota, Florida, and hires in the United States, supporting emergency activations nationwide and in Puerto Rico.
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Ceres Environmental Services, 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 →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.