Job Description

Design and implement high-performance, highly stable platform services

Support data calculation needs for intelligent risk decision. Delivering high-quality and efficient data computing products

Participate in offline and real-time data development to support risk analysis, model training, and other risk-related data needs

Research, evaluate, and apply industry best practices and new technologies in anti-fraud system engineering

Collaborate closely with product, algorithm/strategy, and platform teams to ensure smooth integration and evolution of the anti-fraud system.

Requirements

Bachelor's degree or above in computer science or a related field

5 + years of full time working experience as a software/backend Engineer

Must have prior experience in big data platforms such as Flink, Spark

Proven experience designing and optimizing high-concurrency, high-availability backend services;

Strong problem-solving skills with the ability to abstract complex business logic into scalable system designs;

Effective cross-functional communication and collaboration skills, with a proactive and ownership-driven mindset;

Proficient in at least one programming language, such as Go, Java

Experience in leading teams, mentoring peers, or owning core modules in large-scale systems is a strong plus

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Shopee

Expert Backend Engineer, Business Security

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