Gebit Solutions builds modular retail software—PoS systems, payment, pricing, and employee apps—on a Java-based microservices architecture (Spring, REST, gRPC, Kubernetes). The stack shows mature backend engineering discipline, while adoption of PyTorch and local LLMs in active projects signals a shift toward AI-driven retail features (dynamic pricing, demand forecasting). Hiring is engineering-heavy (11 of 16 open roles), concentrated at mid and senior levels, reflecting both product depth and a scaling challenge: partner-program expansion and customer acquisition pain points suggest they're moving from pure software vendor toward a platform-ecosystem play.
Gebit Solutions is a publicly traded German software vendor (founded 1991, 201–500 employees, Berlin headquarters) that supplies point-of-sale systems, payment modules, and omnichannel retail platforms to mid-market and enterprise retailers. The product portfolio spans attended and self-service checkouts, mobile employee and customer apps, and functional modules (GEBIT Pricing, GEBIT Payment) that run on a reactive, event-driven microservice architecture. Customers integrate solutions into existing systems or deploy the full GEBIT Retail Platform for real-time omnichannel operations. The company operates physical test labs with checkout hardware, scanners, and scales, plus a cloud-based reference environment for pre-validation of updates and new features across distributed retail locations. Professional services and consulting round out the go-to-market.
Java, Jakarta EE, Spring, gRPC, REST, Kubernetes, Docker, React, Angular, and SQL form the core. PyTorch and local LLMs appear in active projects, indicating AI feature development. Jira, Confluence, and Git manage development workflow.
Berlin, Grunewald, Germany. The company is publicly traded and was founded in 1991. Current hiring spans Germany and Portugal.
Other companies in the same industry, closest in size