Senior Software Development Engineer- Trust Intelligence
Core
Architect and scale distributed data systems and pipelines to power risk decisioning and machine learning engines for global money transfer fraud detection.
Role type
Senior Staff Software Engineer (Data Infrastructure)
Builds
High-throughput, fault-tolerant data pipelines, feature stores, and risk signal intelligence platforms.
Domain
FinTech / Fraud Detection / Risk Management
Deliverable
production ML models
Required skills
Distributed systems architecture, Big Data tools (Spark, Kafka), Cloud infrastructure (AWS), Data modeling, Python/Java/Scala/Go, Technical leadership
Preferred skills
Machine Learning pipeline integration, Feature drift detection, FinTech domain knowledge
Technologies
Kafka, Spark, AWS (Kinesis, S3, EMR, Redshift, DynamoDB), Snowflake, Airflow
Responsibilities
Architect distributed data systems and pipelines; Drive technical strategy for the risk data stack; Design complex data models and feature delivery mechanisms; Innovate data integrity with anomaly and drift detection; Partner with Data Scientists and ML Engineers to enable rapid model deployment; Mentor engineers and lead architectural design reviews.
Seniority
Senior, hands-on IC with leadership responsibilities
