Senior Staff Backend Engineer - Fraud Detection

The role

You will lead the architecture and development of large-scale ML-powered data platforms. You will build infrastructure, real-time data pipelines, and serving systems to deploy and operate machine learning models in production.

What you will do

• Lead the architecture, design, and development of scalable data and ML infrastructure.
• Build and optimize large-scale batch and real-time data pipelines.
• Own the end-to-end productionization of machine learning models.
• Partner with Data Scientists and Engineering teams to bridge model development and production deployment.
• Define long-term technical vision and roadmap for data processing and ML platform capabilities.
• Lead complex cross-functional initiatives and establish engineering best practices.
• Mentor senior engineers and drive technical decision-making.
• Provide leadership during critical production incidents and architectural reviews.

Required qualifications

• 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
• Hands-on experience with data streaming technologies such as Apache Flink, Kafka, Spark Streaming, or similar frameworks
• Strong proficiency in Java-based backend development and distributed system architecture
• Experience designing and building low-latency, high-throughput data pipelines and serving systems
• Experience deploying, scaling, and optimizing machine learning models in production environments
• Strong knowledge of system design, scalability, fault tolerance, and operational excellence

Nice to have

• Experience in fraud detection, risk systems, trust & safety, payments risk, or similar domains
• Familiarity with commerce, marketplace, fintech, or payments ecosystems
• Experience building ML platforms, model-serving infrastructure, feature stores, or inference pipelines
• Experience operating systems that process millions of events or transactions per day
• Experience partnering closely with Data Science teams to productionize machine learning models
• Familiarity with leveraging GenAI tools for software development, debugging, testing, and engineering productivity
• Experience working with cloud-native architectures, containerized environments, and modern infrastructure platforms

About the company

Coupang is a fast-growing e-commerce company and a dominant force in South Korean commerce. It combines a startup culture with the resources of a large global public company.