Expert Backend Engineer, Business Security - Platform

Department Engineering and Technology

LevelExperienced (Individual Contributor)

LocationSingapore

The Engineering and Technology team is at the core of the Shopee platform development. The team is made up of a group of passionate engineers from all over the world, striving to build the best systems with the most suitable technologies. Our engineers do not merely solve problems at hand; We build foundations for a long-lasting future. We don't limit ourselves on what we can or can't do; we take matters into our own hands even if it means drilling down to the bottom layer of the computing platform. Shopee's hyper-growing business scale has transformed most "innocent" problems into huge technical challenges, and there is no better place to experience it first-hand if you love technologies as much as we do.

Job Description:

Responsible for the architecture design and core capability building of the business security platform, leveraging AI/LLM technologies to create end-to-end capabilities such as automatic risk discovery, intelligent analysis, solution recommendation, and closed-loop governance.

Design and implement high-performance, highly available, and scalable platform services to support key business scenarios such as anti-fraud, payment, and account security.

Build data computing and data service capabilities for risk control decision-making, delivering high-quality, efficient, and reusable data computing products.

Track and evaluate industry best practices in areas such as AI Agent, LLM application engineering, and anti-fraud system engineering, promoting the implementation of new technologies in business security scenarios.

Collaborate closely with product, algorithm, strategy, data, and platform teams to promote the smooth integration, continuous evolution, and large-scale application of the anti-fraud system.

As a senior technical expert, responsible for reviewing key technical solutions, tackling complex problems, and promoting the improvement of team engineering quality, technical specifications, and talent development.

Requirements:

Bachelor's degree or above in Computer Science, Software Engineering, Artificial Intelligence, or a related field.

Extensive experience in LLM application development and engineering implementation, with a deep understanding of key technologies such as Context Engineering, AI Agent, Evaluation Framework, Vibe Coding/AI-assisted R&D.

Experience in architecture design, performance optimization, and stability management for high-concurrency, high-availability, and distributed backend services.

Proficient in at least one backend programming language, such as Go or Java, with strong engineering practice skills.

Excellent problem analysis, system abstraction, and architecture design capabilities, able to transform complex business logic into scalable and reusable platform capabilities.

Strong cross-team communication and collaboration skills, proactive, with a strong sense of ownership and results-oriented approach.

Prior experience in building risk control, security platforms, data computing platforms, or AI platforms is preferred.

Priority will be given to candidates with experience in team management, technical mentoring, or who have led the design and construction of core modules for large-scale systems.