AI-driven energy management for industrial decarbonization
Greenflash builds decentralized energy systems for industrial and commercial customers, anchored by Greencore AI—a self-learning software layer that optimizes power supply and control at unprecedented granularity. The stack (Java, Spring Boot, PostgreSQL, TimescaleDB, Azure/AWS/GCP) reflects a data-intensive backend handling real-time grid signals (Modbus, OCPP, IEC 60870-5-104), while the engineering-heavy hiring mix (15 engineers across 24 open roles) and active projects spanning PV, battery storage, EV charging, and forecasting suggest the company is scaling both product depth and go-to-market in parallel.
Greenflash develops intelligent, decentralized energy systems that reduce operating costs and CO₂ emissions for mid-market industrial and commercial customers. The business operates as a full-service provider, pairing hardware integration (solar arrays, battery storage, charging infrastructure) with proprietary AI-based energy management software. Founded in 2020 and currently operating from four German offices (Lingen, Essen, Munich, Hamburg), the company employs roughly 100 people. Revenue-driving projects include system integration, commissioning support, and performance optimization; strategic initiatives focus on scaling production processes, expanding customer acquisition, and deepening market share in the renewable-energy segment.
Java, Spring Boot, PostgreSQL, TimescaleDB, Docker, and cloud platforms (Azure, AWS, GCP). Operations and communications use industrial protocols: Modbus, OCPP, IEC 60870-5-104, plus standard IT infrastructure (Linux, VPN, Firewall).
Yes. 15 of 24 active roles are engineering positions (mix of mid-level, junior, and senior), though hiring velocity is decelerating. All roles are based in Germany.
Essen, Nordrhein-Westfalen, Germany. The company also operates offices in Lingen, Munich, and Hamburg.
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