Software Development Engineer II- Trust Intelligence

Remitly PHL Operations Inc.; Seattle (WA); Hybrid; USD 144,000 - 180,000; Full time

Benefits offered by this job

Flexible paid time off

Health, dental, and vision

401k plan with company matching

Paid parental, medical, military and?

Job summary

Remitly seeks a Senior Data Platform Engineer for the Trust Intelligence Platform to architect and scale distributed data systems using Kafka, Spark, and AWS. You will drive strategy for the risk data stack and collaborate with data scientists, ML engineers, and risk leadership to enable rapid model deployment.

You will mentor mid-level and junior engineers, lead architectural reviews, and help foster technical excellence across the platform; hybrid work includes onsite Tue–Thu in Seattle with

Qualifications

• 6+ years of professional experience in software engineering and scalable data systems.
• Architectural expertise in large-scale distributed systems and data warehousing concepts.
• Hands-on with Python/Java/Scala/Go and modern big data tools.
• Extensive AWS data services and streaming experience for real-time use cases.
• FinTech, Fraud, or Risk domain experience is a plus.

Responsibilities

• Architect and scale distributed data pipelines and systems.
• Drive technical strategy for the risk data stack and cost optimization on AWS.
• Design complex data models and feature delivery for real-time and analytical needs.
• Mentor engineers, lead design reviews, and set engineering standards.
• Collaborate with Data Scientists and ML engineers on feature stores and retraining loops.

Skills

Distributed systems

Big data tooling

Python

Java

Scala

Go

Spark

Kafka

Airflow

Snowflake

Kinesis

S3

Redshift

DynamoDB

Data warehousing

AWS

Tools

Spark

Snowflake

Kafka

Airflow

Kinesis

S3

EMR

Redshift

DynamoDB

Job description

Job Description 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.

• 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 $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.

Under the Company's current hybrid-work expectations, employees in this position work onsite Tuesday through Thursday each week. Additional onsite attendance may be required based on business needs, and the Company may modify its hybrid-work expectations from time to time. These intentional in-office moments are vital for deepening relationships, fuelling 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.

Remitly is a leading digital financial services provider for immigrants and their families in over 170 countries around the world. Remitly helps immigrants send money home in a safe, reliable and transparent manner. Its digitally-native, cross-border remittance app eliminates the long wait times, complexities and fees typical of traditional remittance processes. Building on its strong foundation, Remitly is expanding its suite of products to further its mission and transform financial services for immigrants all around the world.