Software Development Engineer II- Trust Intelligence Platform

Seattle, WA, United States of America

Category: Engineering
Job ID: R_106355
Job Type: Regular

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.

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 team's 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.

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.

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 team's 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.

What our Remitlians say

Evelyne Kuo

Program Manager - Technical

On the Security & Privacy team, I reimagine what’s possible by going beyond traditional compliance to create a culture where security is part of everyone’s day-to-day — through programs like our champion network, engaging training sessions, and company-wide awareness events that make security approachable and empowering.”

What our Remitlians say

Amara Agbo

Software Development Engineer II

To me, reimagining what’s possible means constantly learning new technologies and applying cutting-edge solutions to build localized systems that scale across currencies, countries, and regulations. The challenges we solve at Remitly don’t just strengthen our platform — they expand financial access for millions of people worldwide. That’s what makes the work both exciting and impactful.”

What our Remitlians say

Rosa Castellon Herrera

Senior Team Manager - QA

Stand for excellence means to me always raising the bar, pushing through discomfort, to deliver our best to our teams and customers every time. We come together as a team to share ideas to develop a rubric that helps us deliver impactful results.”

What our Remitlians say

A photo of a Remitly employee, smiling and looking at the camera.

Stephanie Cameron

Senior Product Manager

On the product team at Remitly, I’m trusted to make decisions that drive real impact—not just for my team, but for the business and our customers. I’m encouraged to take ownership of problems even when they’re outside my immediate scope, to speak up, and to bring the right people together to solve them. Lately, that’s meant working on real-time FX and funding tools that support our treasury team in lowering transaction costs—so we can pass those savings on to our customers. That trust and cross-team collaboration make it easy to stay focused on what really matters in the long run.”

What our Remitlians say

Nadav Yekutiel

Senior Manager - Analytics

At Remitly, diving deep has meant pushing past easy answers to truly understand what our customers need. I’ve seen our analytics teams uncover insights that weren’t obvious at first glance — like identifying hidden friction points in the customer journey that, once solved, improved both experience and trust. This commitment to going beyond the surface makes our recommendations stronger, and it’s a big part of how we deliver meaningful impact across the business.”