Senior Staff Backend Engineer - Fraud Detection

About the role

Coupang’s Risk, Fraud & Trust Engineering team is building next‑generation platforms that protect the marketplace through intelligent, real‑time decisioning systems. As a Senior Staff Engineer you will lead the architecture and development of large‑scale, ML‑powered data platforms that bridge data science and engineering, ensuring fraud detection models are performant, reliable, and meet strict SLAs.

Key responsibilities

• Lead the architecture, design, and development of scalable data and ML infrastructure supporting fraud detection, risk evaluation, and trust systems.
• Build and optimise large‑scale batch and real‑time data pipelines capable of processing high‑volume events with low latency and high reliability.
• Own end‑to‑end productionisation of machine‑learning models, ensuring deployment architectures meet performance, scalability, and operational requirements.
• Partner closely with data scientists and engineering teams to translate complex modelling requirements into scalable engineering solutions.
• Define long‑term technical vision and roadmap for data processing, ML platform capabilities, and fraud detection infrastructure.
• Lead cross‑functional initiatives, establish engineering best practices, and raise the bar for system scalability, reliability, and operational excellence.

Required profile

• 13+ years of experience in backend engineering, data engineering, or large‑scale distributed systems development.
• Strong experience building large‑scale, real‑time distributed data processing systems using technologies such as Apache Flink, Kafka, or Spark Streaming.
• Proficiency in Java‑based backend development and distributed system architecture.
• Experience designing low‑latency, high‑throughput data pipelines and serving systems.
• Experience deploying, scaling, and optimising machine‑learning models in production environments.
• Strong knowledge of system design, scalability, fault tolerance, and operational excellence.

Required skills

• Java
• Apache Flink
• Apache Kafka
• Apache Spark Streaming
• Distributed systems design
• Real‑time data processing
• Machine‑learning model deployment
• Cloud‑native architectures
• Containerisation (Docker, Kubernetes)
• Feature stores and inference pipelines
• GenAI tools for software development