Senior Staff Backend Engineer - Fraud Detection (CRDS)
Coupang (company site, opens in a new tab)13+ yrsBengaluruOn-siteDirect career pageEst. 65–95 LPA
Posted on 10 Sept
Reach people at Coupang
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Coupang you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Lead architecture, design, and development of scalable fraud detection and risk evaluation data and ML infrastructure.
- Build and optimize large-scale batch and real-time data pipelines with low latency and high reliability to support fraud and trust systems.
- Own end-to-end productionization of ML models ensuring performance, scalability, reliability, and alignment with strict business SLAs.
Minimum Requirements
- 13+ years experience in backend engineering, data engineering, or large-scale distributed systems development.
- Strong experience with real-time distributed data processing systems and streaming technologies (e.g., Apache Flink, Kafka, Spark Streaming).
- Proficiency in Java backend development and distributed system architecture.
- Work Model: Hybrid with minimum 3 days onsite per week (office location requirements apply).
Ideal Candidate Profile
- Experienced leader in designing and operating large-scale, real-time data platforms bridging Data Science and Engineering.
- Domain knowledge in fraud detection, risk systems, or payments risk within commerce or fintech contexts is preferable.
- Proven ability to drive technical vision, mentor senior engineers, and manage cross-functional initiatives for high scalability and operational excellence.