Energy digitalization and EV charging platform operator for China's grid and distributed energy markets
LongShine Technology Group operates dual business lines in energy digitalization (serving state-owned grid operators) and the energy internet (distributed solar, storage, EV charging). The tech stack—Oracle, Kafka, TensorFlow, PyTorch, MaxCompute—reflects backend-heavy infrastructure for real-time grid operations and ML-driven demand forecasting. Hiring is heavily weighted toward sales (13 roles) and operations (8), with minimal engineering headcount, indicating a mature product phase and customer-acquisition focus over platform development.
Notable leadership hires: Key Account Sales Director
LongShine Technology Group is a publicly listed energy technology enterprise headquartered in Wuxi, Jiangsu, with 5,001–10,000 employees and operations across 8 domestic R&D centers plus over 10 countries. The company serves two distinct segments: Energy Digitalization, providing intelligence solutions to major state grid operators (State Grid, China Southern Power Grid), and the Energy Internet, operating platforms for distributed photovoltaics, energy storage, and EV charging. The EV charging aggregation platform connects 1.6 million public stations serving 18 million EV owners; the solar platform links 360,000 stations totaling 22+ GW capacity. The company serves over 12,000 government and enterprise clients and 470 million individual users globally.
LongShine operates two parallel business lines: Energy Digitalization (intelligent transformation solutions for state grid operators) and Energy Internet (platforms for distributed solar, energy storage, EV charging, and zero-carbon infrastructure). The EV charging platform connects 1.6 million stations; the solar platform covers 360,000 stations with 22+ GW capacity.
LongShine is headquartered in Wuxi, Jiangsu, China. The company operates 8 R&D centers domestically and has expanded to over 10 countries internationally.
LongShine's primary stack includes Oracle, MySQL, Kafka, TensorFlow, PyTorch, and Alibaba Cloud (MaxCompute) for backend infrastructure and ML. The company also uses Flask/Django for web services, Redis for caching, and BERT/GPT for NLP applications.
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