Software Engineer (Fraud & Risk)

Join our Fraud & Risk team as a Software Engineer, where you will design, develop, and maintain high-performance systems that generate fraud signals and process identity data at scale. Collaborate cross-functionally, improve platform reliability and scalability, and leverage AI and emerging technologies to enhance productivity and decision-making.

• Conception, développement et maintenance de systèmes performants pour la détection de fraudes.
• Collaboration avec des équipes interfonctionnelles pour traduire des exigences commerciales complexes en tâches techniques réalisables.
• Participation à l'amélioration continue des normes d'ingénierie, des processus et des meilleures pratiques.
• Proven experience building front-end platforms with frameworks like React, Bootstrap, Material UI, and CSS with solid understanding of microfrontend architecture and modular UI/UX design
• Proficiency with Git or similar version control systems
• Proven ability to design and implement scalable, performant, and maintainable systems in a production environment
• Strong experience with relational databases (MySQL), NoSQL databases, and robust schema design
• Deep experience in C#, .NET Framework, or Java/Spring Boot, with solid understanding of scalable architecture and modern software design
• Solid knowledge of network protocol, threats, security standards and best practices
• Experience with agile methodologies in a fast-paced environment
• Strong background in unit testing and test automation, including automated testing of web services
• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience
• 5+ years of software engineering experience developing enterprise-grade applications
• Proven experience building applications with microservice or distributed systems and architectures
• A growth mindset; you are always learning, seeking feedback, and staying up-to-date with emerging technologies
• Ability to follow and contribute to team standards for integrating AI contributions into the codebase
• Strong analytical thinking and problem-solving skills, balancing technical excellence with pragmatic delivery
• Excellent communication and collaboration skills, with the ability to articulate technical concepts clearly to both technical and non-technical stakeholders
• If you don’t see yourself fully reflected in every job requirement listed on the posting above, we still encourage you to reach out and apply. Research has shown that minorities and underrepresented groups often only apply when they feel 100% qualified. We are committed to creating a more equitable, inclusive and diverse company and we strongly encourage applicants of all genders, ages, ethnicities, cultures, abilities, sexual orientations, and life experiences to apply
• Familiarity with AWS services such as ECS services, Athena, and Lambda
• Experience with Docker, Kubernetes, and related cloud-native technologies
• Experience with OpenSearch (or Elasticsearch), specifically in designing index mappings, optimizing query methodologies, and maintaining performance at scale with large datasets
• Solid knowledge of authentication and authorization protocols like OAuth2