Staff Engineer - Backend (E-Commerce Engineering)
Core
Lead the evolution of a real-time fraud detection platform safeguarding millions of daily transactions using event-driven architecture and streaming data.
Role type
Staff Backend Engineer (Fraud Detection)
Builds
Real-time fraud detection platform for e-commerce transactions
Domain
E-commerce, Fraud Detection, Streaming Data
Deliverable
production ML models
Required skills
Java, Spring Boot, Distributed Systems, Kafka, Stream Processing (Apache Flink/Kafka Streams), NoSQL (Cassandra), Technical Strategy, Architecture Design, Cross-functional Leadership
Preferred skills
Fraud Detection/Trust & Safety, ML Pipelines, Graph Databases (Neo4j), Rule Engines (Drools/MVEL), Data Privacy/PII Compliance
Technologies
Kafka, Apache Flink, Cassandra, Neo4j, Drools, MVEL
Responsibilities
Own the fraud detection domain end-to-end, drive critical reliability improvements (circuit breakers, DLQ), define and deliver group-level OKRs, lead architecture design and review processes, develop multi-quarter technical roadmaps, identify systemic bottlenecks, mentor senior engineers and raise engineering standards
Seniority
Staff, group-level scope with strategy and mentorship
