Remitly · SeattlePrepare for this interview
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Job Description: At Remitly, we believe everyone deserves the freedom to access, move, and manage their money wherever life takes them. Since 2011, we've tirelessly delivered on our promise to customers sending money globally, providing secure, simple, and reliable ways to manage their money, ensuring true peace of mind. Whether it's supporting loved ones back home, growing a business across continents, or pursuing new opportunities abroad, we're not just here to move money- we're here to move our global customers forward. We're looking for builders, reimaginers, and global thinkers who want to work at the intersection of technology, trust, and transformation. If that's you and you're ready to do the most meaningful work of your career-we invite you to join over 2,800 passionate Remitlians worldwide who are united by our vision to transform lives with trusted financial services that transcend borders. About the Role: The Trust Intelligence Platform team provides a robust data foundation and high-quality risk signal intelligence as its top priority. The team converts raw platform data into clean, reliable, and contextualized intelligence for downstream use in models, rules, and policies. This enables improvements in transaction detection rates and fraud loss rates through the implementation of data and feature flywheels. As an SDE II in Trust Intelligence, your mission is to guarantee the quality and integrity of the data powering our risk decisioning and machine learning engines. You will design, build, and scale the high-throughput pipelines and feature stores that our decisioning logic relies upon. Through rigorous data quality automation-including real-time anomaly monitoring and statistical drift detection-you will establish a definitive source of truth. Your infrastructure will empower our fraud analysts and machine learning engineering teams to combat risk with absolute confidence. You will report to an Engineering Manager in this role. You Will: Ensure data integrity by building the feature anomaly and drift detection capabilities to improve feature quality, and following global financial data privacy standards. Design and Implement robust data pipelines using technologies like Kafka, UEL, or Spark to process real-time and batch risk signals. Develop Scalable Data Models that support both real-time decisioning and long-term analytical needs, ensuring high data quality and observability. Partner with Data Scientists/Analysts to build and optimize "feature stores" and data delivery mechanisms that enable rapid ML model deployment and retraining. Contribute to Technical Strategy for the risk data stack, participating in decisions on database selection (SQL/NoSQL), storage patterns, and cost-optimization on AWS. Collaborate and Improve the engineering team by sharing best practices for data engineering, participating in design reviews, and promoting a culture of technical excellence. You Have: Experience: 3+ years of professional experience in software engineering, with experience building and maintaining production-grade data systems.. Technical Depth: Proficiency in Python, Java, Scala, or Go, and hands-on experience with modern big data tools (e.g., Spark, Snowflake, Kafka, or Airflow). Cloud Experience: Experience building and scaling distributed data systems within AWS (e.g., Kinesis, S3, EMR, Redshift, or DynamoDB). Streaming Knowledge: Experience with, or an understanding of, building low-latency streaming applications for real-time use cases. Experience analyzing a problem from different angles: Strong SQL skills and an understanding of data warehousing principles. Project Ownership: Experience owning project components or features, seeing them through from design to production. Machine Learning: (Preferred) Exposure to using machine learning for feature outlier and drift detection. Domain Knowledge: (Bonus) Previous experience in FinTech, Fraud, or Risk domains, specifically dealing with adversarial data patterns or high-volume transaction processing. Compensation Details. The starting base salary range for this position is typically $144,000-$180,000. In the U.S., Remitly employees are shareholders in our Company and equity is part of our total compensation plan. Your recruiter can share more information about medical benefits offered, as well as other financial benefits and total compensation components offered with this role.
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