LYNQTECH builds a cloud-native sales platform designed specifically for energy utilities across the German market. The stack—Go, Python, Airflow, Spark, Metabase on AWS—reflects a data-heavy architecture suited to complex billing and commodity trading workflows. Active hiring across engineering and data roles, plus concentrated investment in test automation tooling (adopting Playwright and Tosca), signals a shift toward higher-quality release cycles as the product scales beyond initial implementations.
LYNQTECH is a B2B SaaS platform for energy service providers (Stadtwerke, regional utilities, municipal networks) operating across Germany. The platform handles sales-critical processes for energy distributors: customer interfaces, business intelligence and analytics, flexible billing for commodity and non-commodity products, and real-time data orchestration. Founded in 2020, the company operates at 51–200 employees and positions itself as a bridge between enterprise energy-industry domain knowledge and modern cloud architecture. Customers use the platform to build cost-efficient, competitive sales operations while managing the increasing complexity of energy markets.
Go, Python, Apache Airflow, Apache Spark, Metabase, AWS, Kubernetes, Docker, Java. Test automation relies on Selenium, UiPath, Cypress, and Cucumber; they're adopting Playwright and Tosca.
Implementing new test automation technologies and performance testing. These efforts address their stated challenge of optimizing the test automation landscape as the platform expands.
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