Our partner is one of the largest retail e-commerce companies in North America, serving millions of customers each year and ensuring a secure and seamless shopping experience across digital and in‑store channels.

We’re looking for a Backend Engineer to join the Enterprise Fraud Intelligence team, which is responsible for building and maintaining systems that detect, prevent, and mitigate fraudulent activities across the organization.

The role focuses on developing scalable, distributed, and real‑time data processing systems that support fraud detection pipelines and event-driven architectures. You will work across the full software development lifecycle — from system design and implementation to production support, monitoring, and on‑call responsibilities.

This is a hands-on engineering role requiring strong Java expertise, deep understanding of streaming technologies, and experience operating high‑load, cloud‑native systems. You will contribute to mission‑critical services that directly impact business security, customer trust, and operational resilience.

• Design, implement, and maintain scalable and reliable software solutions using Java and Spring Boot.

• Architect and build distributed systems leveraging Kafka Streams and other real-time data processing frameworks.

• Develop and maintain RESTful APIs to support seamless integration and communication between systems.

• Collaborate with DevOps teams to deploy and manage applications on Kubernetes, ensuring scalability, reliability, and security.

• Work with cloud platforms like AWS and GCP to build and optimize cloud-native applications

• System Monitoring & Troubleshooting - Splunk New Relic

• Apply strong object-oriented design principles and design patterns to create maintainable and extensible codebases.

• Participate in code reviews, technical discussions, and team collaboration to deliver high-quality software solutions

• 3-5+ years of professional experience in software engineering, with a focus on backend development.

• Strong proficiency in Java and hands-on experience with Spring Boot.

• Experience with streaming technologies such as Kafka Streams and Apache Flink.

• Deep understanding of object-oriented design principles and design patterns.

• Hands-on experience with Kafka for message streaming and event-driven architectures.

• Proficiency with containerization and orchestration tools, especially Kubernetes.

• Experience with cloud platforms like AWS and/or GCP.

• Expertise in building and consuming RESTful APIs.

• Strong problem-solving skills, with the ability to troubleshoot complex systems.

• Excellent communication skills and the ability to work effectively in a collaborative, team-oriented environment.