ON.energy designs, supplies and operates battery energy storage (BESS) and power systems for data centers and grid-scale sites. Its stack pairs industrial controls (Siemens PLC, TIA Portal, Ignition, SCADA, Modbus, OPC UA) with power simulation tools (PSCAD, MATLAB) and hardware-in-the-loop testing, a sign of in-house controls engineering. Hiring skews heavily to senior engineers, with new director roles in service quality, logistics and policy.
Notable leadership hires: Service Quality Director, Logistics Director, Director of Policy
ON.energy is a privately held energy technology company headquartered in Miami, Florida, with 51–200 employees. It builds and operates large-scale power and battery storage systems for AI data centers, mission-critical facilities and front-of-the-meter grid assets. Its work also spans industrial, manufacturing, transportation and infrastructure customers. The company pairs patented hardware with proprietary controls software and develops projects internationally. It hires across the United States, Canada, Mexico, Argentina and Chile.
ON.energy uses Siemens PLC, TIA Portal, Ignition, SCADA, Modbus and OPC UA for controls. It codes in C++, C# and Python, simulates in PSCAD and MATLAB, and runs on AWS, SAP, Dynamics 365 and Procore.
ON.energy is building utility-scale BESS projects and battery systems for data centers. Current work includes EMS, plant controller and SCADA integration, plus medium-voltage double-conversion UPS deployments.
ON.energy hires in the United States, Canada, Mexico, Argentina and Chile. Most openings are senior engineering roles, plus leadership roles in service quality, logistics and policy.
Other companies in the same industry, closest in size
ON.energy'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.
