Staff Backend Engineer
Core
Technical leader driving architecture and scalability for large-scale real-time fraud detection systems analyzing tens of millions of commerce events daily.
Role type
Staff Backend Engineer (Fraud Detection)
Builds
Large-scale, low-latency backend systems for seller and buyer fraud prevention
Domain
E-commerce / Fraud Detection / Real-time Systems
Deliverable
production ML models | product features
Required skills
System design, distributed systems, data streaming, Java, OLTP databases, real-time inference, fault tolerance, scalability
Preferred skills
Fraud detection domain, payments risk, Apache Flink, feature stores, GenAI/LLM tools for engineering
Technologies
Java, Apache Flink, OLTP databases, streaming data, inference pipelines
Responsibilities
Translate business fraud prevention goals into scalable technical solutions, design and build low-latency systems processing millions of events, develop real-time fraud detection systems using streaming data, collaborate with Product, Data Science, and ML engineers, drive architectural decisions for scalable fraud detection, evaluate and implement ML and LLM-based approaches, advocate engineering excellence and guide best practices (via careerplan.io/jobs/7904326-staff-backend-engineer-at-coupang)
Seniority
Staff, technical leadership & architecture
