Senior Software Development Engineer- Trust Intelligence

Remitly; Seattle (WA); On-site; USD 180,000 - 225,000; Full time

Benefits offered by this job

Flexible paid time off

Health, dental, and vision + 401k with

Company equity

Paid parental leave

Mental health benefits

Employee Stock Purchase Plan

Job summary

Remitly, a global fintech company, seeks a Senior SDE to architect and scale the Trust Intelligence data infrastructure powering risk decisions and machine learning. You will lead high-throughput pipelines, guide data models, and collaborate with data science and risk teams to deploy ML features at scale.

Expect to mentor engineers, drive architectural standards, and influence cross-functional strategy while delivering robust, low-latency data solutions for fraud prevention at a global scale.

Qualifications

• 6+ years of professional software engineering experience building production-grade, scalable data systems.
• Deep ability to design large-scale distributed systems and data warehousing concepts.
• Proficient with Python, Java, Scala, or Go and modern big data tools.

Responsibilities

• Architect and scale distributed data systems and robust pipelines using Kafka and Spark for real-time and batch risk signals.
• Drive technical strategy for the risk data stack, decisions on DBs, storage patterns, streaming architecture, and cost-optimization on AWS.
• Lead the design of complex data models and feature delivery mechanisms for real-time decisioning and long-term analytics.
• Innovate data integrity by roadmap and feature anomaly/drift detection, ensuring global privacy standards.
• Partner with Data Scientists, ML Engineers, and Risk Leadership to build feature stores and enable rapid ML model deployment.
• Mentor mid-level/junior engineers, lead architecture reviews, set engineering standards, and foster technical excellence across the platform.

Skills

Python

Java

Scala

Go

Tools

Spark

Snowflake

Kafka

Airflow

AWS

Job description

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 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.

You Will

• 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.

You Have

• 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.

Compensation Details.

The starting base salary range for this position is typically $180,000-$225,000. 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

We are committed to nondiscrimination across our global organization and in all of our business operations. Employment is determined based upon personal capabilities and qualifications without discrimination on the basis of race, creed, color, religion, sex, gender identification and expression, marital status, military status or status as an honorably discharge/veteran, pregnancy (including a woman's potential to get pregnant, pregnancy‑related conditions, and childbearing), sexual orientation, age (40 and over), national origin, ancestry, citizenship or immigration status, physical, mental, or sensory disability (including the use of a trained dog guide or service animal), HIV/AIDS or hepatitis C status, genetic information, status as an actual or perceived victim of domestic violence, sexual assault, or stalking, or any other protected class as established by law.

Remitly is an E-Verify Employer

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