FinTech

Automated testing for a digital bank.

A neobank set out to reboot personal and business banking. Our job: make sure its core banking flows survive every release — automatically.

Java Spring BootKubernetesKafkaGraphQLFlutterAzure DevOps

The brief

The platform ships personalised banking built around spending, saving and planning. At bank scale, a broken payment or onboarding flow is not a bug — it is a support-ticket avalanche. Core functionality had to be verified continuously, not manually.

What we built

An automated end-to-end testing infrastructure over the bank’s core functionality — accounts, payments, onboarding — integrated into Azure DevOps CI on a Java Spring Boot / Kubernetes / Kafka stack with GraphQL APIs, MongoDB and PostgreSQL (Liquibase-managed), and Flutter mobile clients.

Key features

▸End-to-end coverage of core banking flows

▸Regression suite wired into Azure DevOps CI

▸API, web and mobile (Flutter) test layers

▸Releases gated on a green suite

Start the conversation

Two minutes of questions about your own build, answered by a senior engineer. You get a written plan and a number before you commit to anything.