We have been working with the biggest eCommerce platform in Poland and implemented an algorithm to find available payment methods. This includes 100% service availability and complex business logic based on user and product features in a huge-scale, microservice network.

To let small and mid-size merchants easily integrate with international payment providers we have built a scalable and interoperable checkout service. Huge factor was placed on the security (compliance with PCI DSS 4.0) and seamless customer and merchant journey while utilizing the solution.

In order to provide as many payment methods as possible we have been developing and maintaining integrations with PayPal, Klarna, MobilePay, Shift4 and more. This includes the complexity of different setups supported and many legacy systems around that the solution needs to be compatible with.

We were part of the team building a service used to classify a big scale marketplace product database for special discounts/offers etc. That included building an engine using Spark jobs run on GCP that processed the database on demand and in real-time responding to product parameters updates.

We redesigned entire architecture and process of development and deployment for multiple customers/tenants. Overcoming challenges such as data migration from multiple databases to one multi tenant database management system, creating new lightweight micro-service architecture in latest Java and Spring Boot framework we delivered fully working, easy to use and maintain ordering solution. We employed Microsoft Azure Cloud pipelines to build and Kubernetes Clusters to serve our application.