You will work with the Fraud Community, a strategic team that prevents and mitigates risks, ensuring operational integrity and data protection.
Our mission is to develop robust, intelligent solutions that support fraud detection and prevention mechanisms.
You will be part of an engineering squad focused on modern solutions, operating in a build & run model, responsible for integrating Product Systems with world-class anti-fraud engines, supporting risk analysis of large-scale events.
Work with system configurations (YAML)
Build and maintain technical documentation
Create and maintain observability dashboards and alerts
Support recurring operational tasks
Develop services, APIs and integrations
Participate in modernization initiatives
Apply testing, observability and best practices
Use AI (Stackspot, Devin, Copilot) to support learning
Requirements
Experience programming with Java 10+ and/or Node.js
Experience with Spring Boot
Knowledge of software testing (unit tests, integration tests and code coverage)
Knowledge of relational and non-relational databases
Knowledge of microservices
Experience with AWS (deploying applications to the cloud, using containers, launching instances and running applications)
Knowledge of Docker
Knowledge of observability
Knowledge of Git
Knowledge of Agile
Familiarity with TDD, Clean Code, SOLID and Design Patterns