2 months ago
Bengaluru, IndiaStaff+
Responsibilities
- Lead the architecture, design, and development of scalable data and ML infrastructure for fraud detection, risk evaluation, and trust systems.
- Build and optimize high-volume batch and real-time data pipelines with low latency and high reliability.
- Own the productionization, deployment, scaling, and operation of machine learning models.
- Partner with Data Scientists and Engineering teams to translate modeling requirements into scalable production solutions.
- Define technical vision and roadmaps for data processing, ML platforms, and fraud detection infrastructure.
- Lead cross-functional initiatives, establish engineering best practices, mentor senior engineers, and guide technical decisions.
- Provide leadership during critical production incidents and architectural reviews.
Requirements
- 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 and low-latency, high-throughput pipelines.
- Hands-on experience with streaming technologies such as Apache Flink, Kafka, or Spark Streaming.
- Strong proficiency in Java-based backend development and distributed system architecture.
- Experience deploying, scaling, and optimizing machine learning models in production.
- Strong knowledge of system design, scalability, fault tolerance, and operational excellence.
- Preferred experience includes fraud detection, risk systems, trust and safety, payments risk, ML platforms, model-serving infrastructure, feature stores, inference pipelines, high-volume transaction systems, Data Science collaboration, GenAI development tools, cloud-native architectures, and containerized environments.
Benefits
- Hybrid, onsite, or remote work models are available.
- The hybrid model generally requires at least 3 days in the office per week, with flexibility to work from home 2 days per week depending on role requirements.
Tech Stack
Categories
About Coupang
Coupang builds and operates a South Korea–focused e-commerce marketplace with an end-to-end logistics network (Rocket Delivery), plus food delivery, video streaming, and fintech under brands such as Coupang, Eats, and Play. Revenue comes from first-party retail, third-party marketplace services, advertising, and memberships (Rocket WOW). Founded in 2010, the company is headquartered in Seattle and is publicly listed on the NYSE (CPNG).