Senior Staff Backend Engineer - Fraud Detection
Core
Lead architecture and development of large-scale ML-powered data platforms for fraud detection and risk evaluation in a marketplace ecosystem.
Role type
Senior Staff Backend Engineer (ML Infrastructure)
Builds
Scalable real-time data pipelines, serving systems, and ML model operationalization infrastructure for fraud prevention.
Domain
E-commerce, Fraud Detection, Risk Engineering
Deliverable
production ML models | infrastructure
Required skills
Distributed systems architecture, Real-time stream processing, Java backend development, Low-latency data pipeline design, ML model productionization, System scalability and fault tolerance
Preferred skills
Fraud detection domain expertise, Marketplace/fintech ecosystem knowledge, ML platform and feature store experience, GenAI tool usage, Cloud-native architecture
Technologies
Apache Flink, Kafka, Spark Streaming, Java
Responsibilities
Lead architecture and design of scalable data and ML infrastructure; Build and optimize large-scale batch and real-time data pipelines; Own end-to-end productionization of machine learning models; Partner with Data Scientists to bridge model development and deployment; Define long-term technical vision for data processing and ML platforms; Mentor senior engineers and drive technical decision-making.
Seniority
Senior Staff, hands-on IC with leadership
