Data center infrastructure management (DCIM) software for operators
Sunbird Software builds DCIM software that replaces spreadsheets and point tools for data center operators. Its stack pairs Ruby on Rails, Angular and PostgreSQL with Redfish and VMware vSphere for device integration, while job posts show admin scripts moving off Perl to Python or Ruby and a push toward containerized deployment. Sales-leaning hiring alongside implementation and data-migration work points to a services-heavy customer onboarding motion.
Sunbird Software, founded in 2015 and headquartered in Piscataway, New Jersey, develops data center infrastructure management (DCIM) software. Its products help data center operators run tasks and processes, track infrastructure and improve availability without relying on email and spreadsheets. The privately held company employs 51–200 people and hires across the United States, Canada and the United Arab Emirates. Its teams span sales, engineering, operations, support and finance, with customer-facing implementation, data migration and audit work delivered alongside the software.
Sunbird uses Ruby on Rails, Angular, TypeScript, PostgreSQL, Python, C++ and C#, plus Redfish, VMware vSphere and Rocky Linux. HubSpot, Freshdesk, Jira and Power BI support go-to-market and operations.
Yes. Hiring is steady and led by sales, followed by engineering, with additional roles in operations, support and finance, mostly at junior and mid levels, across the US, Canada and the UAE.
Current work includes migrating admin scripts from Perl to Python or Ruby, moving its solution to containers, Sunbird DCIM implementations, device integrations and a mobile-first DCIM application.
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Sunbird Software'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.