Full Stack Engineer - Recommendation Engine (APAC Remote)

About the Team:

The Recommendation Engine team builds the personalized UI and content across Binance's App and Web — personalized content, adaptive layouts, and recommendation-driven components that make the product feel tailored to each user. Our systems serve 300+ million users worldwide with real-time, relevant, personalized content across all major App/Web surfaces, from home page to user center, trading, markets, and account views. We own the full path: data integration, candidate generation, ranking, serving, and the frontend rendering that puts recommendations in front of users.

What You’ll Do:

• Own recommendation features end to end — data integration, backend ranking and serving, and the frontend surfaces — from spec to deployment, and drive the system through experimentation, measurement, and iteration.
• Partner with data, algorithm, and business teams to design recommendation strategies and experimentation plans — multi-layered strategies, personalized content delivery, strategy comparison, and data tracking solutions.
• Use mainstream AI coding tools (Cursor, Copilot, Claude Code) as a core part of your daily workflow to maximize development efficiency.

What We’re Looking For:

• Bachelor's or above, preferably in Computer Science or Software Engineering; 5+ years of full stack development, with exposure to recommendation, search, or ads systems a plus.
• Proficient in Go with working knowledge of Java; deep understanding of high-concurrency systems, multithreading, locking, and asynchronous programming.
• Experienced in building high-availability, high-performance systems; strong grasp of load balancing, fault tolerance, and graceful degradation.
• Solid understanding of data storage infrastructure — relational databases, caching, and messaging systems — including schema design and query optimization.
• Proficient in React, with hands-on experience building and integrating complete pages and components; familiar with frontend state management, dynamic components, and modern build workflows.
• Mindful of security across frontend and backend — authentication, authorization, input validation, and protection against common vulnerabilities.
• Proficient with AI coding tools (Cursor, Copilot, Claude Code) — able to state requirements and constraints clearly to AI, and to review, validate, and correct AI-generated code.
• Self-driven and comfortable operating without clear boundaries; able to turn vague ideas into clear specs and drive them forward. Strong logical thinking and communication, proactive problem-solving, and a genuine passion for learning new technologies.

Nice to Haves:

• Experience with LLM-based generative content creation.
• Feature engineering for recommendation, search, or ads systems.
• Cross-platform development experience (iOS/Android/Web).
• Open-source contributions or notable GitHub projects.