In this project for a client in the financial sector, the primary focus was on replacing the existing core software that processed a high volume of transactions and documents. This software plays a key role in the client's day-to-day operations, in document regulation, and due date determination – essential processes in the exchange between industry and trade. Additionally, payment transactions needed to be processed, necessitating strict compliance with compliance requirements.

The technology stack consisted of Kotlin/Java and Spring Boot, leveraging Kubernetes and the Azure Cloud as the platform. One aspect of the project, besides implementation, was the creation of architectural concepts that ensure scalability and robustness.

Furthermore, it was crucial to ensure compliance with complex tax and legal requirements, necessitating the development of efficient mechanisms for the creation and management of report documents. Moreover, comprehensive modernization and optimization of the existing code were advanced.

The goal of the project was to reestablish a test data tool that was used for generating artificial vehicle data, to specify and document the requirements. The tool, which was already extensively used, was supposed to be more robust and easier to use.

The test data were necessary to be able to test online services independently from the vehicle. In this process, various corporate systems and their associated datasets had to be connected and synchronized. Users from different departments and from various service providers had the opportunity to independently create synthetic test vehicles via REST or through a web interface.