EV charging network operator with 350kW fast-charging infrastructure
Electrify America operates a coast-to-coast EV charging network serving hundreds of thousands of drivers weekly. The tech stack reveals a hybrid enterprise architecture—SAP suite (S/4HANA, Analytics Cloud, Integration Suite) for finance and supply-chain operations paired with Java/Spring/PostgreSQL for charging-backend APIs and real-time monitoring (AWS IoT Core, Grafana, LabVIEW). Active hiring is engineering-focused (9 of 15 roles), concentrated in backend systems, cross-device APIs, and system-architecture work, while pain-point data shows emphasis on response-time optimization, load management, and root-cause analysis for charging reliability—the operational spine of a multi-site infrastructure business.
Electrify America builds and operates a nationwide fast-charging network for electric vehicles, with chargers delivering up to 350 kilowatts at highway and commercial locations. The company serves hundreds of thousands of EV owners weekly across the United States, with emerging operations extending into Canada and commercial construction sites. Operationally, Electrify America balances hardware deployment, software backend systems for charging management and customer APIs, enterprise resource planning via SAP, and equipment standardization across permitting and construction workflows. The organization is headquartered in Reston, VA, operates with 51–200 employees, and is hiring actively across engineering, data, and legal functions.
Java, Spring Boot, PostgreSQL, MongoDB for backend; LabVIEW, OCPP, Modbus for hardware protocols; SAP S/4HANA, SAP Analytics Cloud for enterprise operations; Tableau, Looker, Grafana for monitoring; AWS IoT Core for real-time infrastructure.
Electrify America operates across the United States as its primary market, with expansion into Canada and commercial construction sites noted in active project work.
Electrify America'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.