Software Development Engineer II- Trust Intelligence Platform

Job Description:

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 defection rates and fraud loss rates through the implementation of data and feature flywheels.

As a Senior SDE in Trust Intelligence your mission is to architect the future of the data infrastructure powering our risk decisioning and machine learning engines. You will lead the technical vision for building and scaling high-throughput fault-tolerant pipelines and next-generation feature stores. You will drive initiatives to build intelligence through first-party and third-party data sources and enable feature automation and lifecycle management. Ultimately as a senior member of the team your architectural decisions will empower our fraud analysts and machine learning engineering teams to combat risk at a global scale with absolute confidence.

• Architect and Scale distributed data systems and robust pipelines using technologies like Kafka and Spark to process high-throughput low-latency real-time and batch risk signals.

• Drive Technical Strategy for the risk data stack leading decisions on database selection (SQL/NoSQL) storage patterns streaming architecture and large-scale cost-optimization on AWS.

• Lead the Design of complex data models and feature delivery mechanisms that support both real-time decisioning and long-term analytical needs ensuring uncompromising data quality and observability.

• Innovate Data Integrity by defining the roadmap and building advanced feature anomaly and drift detection capabilities ensuring strict adherence to global financial data privacy standards.

• Partner and Align cross-functionally with Data Scientists ML Engineers and Risk Leadership to build out feature stores and infrastructure that enable rapid ML model deployment and automated retraining loops.

• Act as a Force Multiplier by mentoring mid-level and junior engineers leading architectural design reviews setting engineering standards and fostering a culture of technical excellence across the platform.

• Experience: 6 years of professional experience in software engineering with a proven track record of architecting building and maintaining production-grade highly scalable data systems.

• Architectural Expertise: Proven ability to design large-scale distributed systems and make high-stakes architectural trade-offs. Deep understanding of data warehousing principles and modern data lake architectures.

• Technical Depth: Expert-level proficiency in Python Java Scala or Go and extensive hands-on experience with modern big data tools (e.g. Spark Snowflake Kafka Airflow).

• Cloud & Streaming Mastery: Extensive experience building scaling and cost-optimizing distributed data systems within AWS (e.g. Kinesis S3 EMR Redshift DynamoDB). Proven experience with low-latency streaming applications for real-time use cases.

• Technical Leadership: Demonstrated experience leading large technical initiatives across multiple quarters aligning cross-functional teams and seeing complex systems through from conception to production and deprecation.

• Machine Learning Integration: (Preferred) Experience designing the data infrastructure that directly serves machine learning pipelines particularly involving feature outlier and drift detection methodologies.

• Domain Knowledge: (Preferred) Deep experience in FinTech Fraud or Risk domains specifically dealing with adversarial data patterns high-volume transaction processing or compliance requirements.

Our Benefits:

• Flexible paid time off
• Health dental and vision 401k plan with company matching
• Paid parental medical military and family care leave
• Mental Health & Family Forming Benefits
• Employee Stock Purchase Plan (ESPP)
• Continuing education and travel benefits

Our Connected Work Culture: Driving Innovation Together

At Remitly we believe that true innovation sparks when we come together. Our Connected Work Culture fosters dynamic in-person collaboration where ideas ignite and challenging problems find solutions faster. For corporate team members we have an in-office expectation of at least 50% of the time monthly typically achieved by coming in three days a week. This creates a consistent meaningful overlap that supports team norms and business needs. Managers also have the flexibility to set higher expectations based on their teams specific needs. These intentional in-office moments are vital for deepening relationships fueling creativity and ensuring your impact is felt where it matters most.

Remitly is an E-Verify Employer

At Remitly we are dedicated to ensuring that our workplace offers equal employment opportunities to all employees and candidates in full compliance with applicable laws and regulations.

Remitly is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.