Full Stack Engineer - Recommendation Engine (APAC Remote)

Location: Remote from Hong Kong, Japan, Singapore, Taiwan, or China. Remote-first, work-from-home arrangement; availability may vary depending on the role and team.

Company

Binance is a global blockchain ecosystem providing cryptocurrency trading, finance, payments, education, research, institutional services, and other digital-asset products to more than 300 million users.

What you will do

• Own recommendation features end to end, covering data integration, backend ranking and serving, frontend surfaces, deployment, experimentation, measurement, and iteration.
• Build personalized UI, content, adaptive layouts, and recommendation-driven components across Binance App and Web surfaces.
• Partner with data, algorithm, and business teams on recommendation strategies, experimentation plans, personalized content delivery, strategy comparison, and data tracking.
• Use Cursor, Copilot, and Claude Code as core daily development tools.

Requirements

• Bachelor’s degree or above, preferably in Computer Science or Software Engineering.
• 5+ years of full stack development experience; exposure to recommendation, search, or ads systems is beneficial.
• Proficiency in Go and working knowledge of Java, with a deep understanding of high-concurrency systems, multithreading, locking, and asynchronous programming.
• Experience building high-availability and high-performance systems, including load balancing, fault tolerance, and graceful degradation.
• Strong knowledge of relational databases, caching, messaging systems, schema design, and query optimization.
• Proficiency in React and experience building and integrating complete pages and components, including frontend state management, dynamic components, and modern build workflows.
• Understanding of frontend and backend security, including authentication, authorization, input validation, and protection against common vulnerabilities.
• Proficiency with Cursor, Copilot, and Claude Code, including defining requirements and constraints clearly and reviewing, validating, and correcting AI-generated code.
• Self-driven approach, strong logical thinking and communication, proactive problem-solving, ability to turn vague ideas into clear specifications, and willingness to learn new technologies.

Nice to have

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

Culture & Benefits

• Opportunity to work on products shaping the future of finance in a user-centric global organization.
• Flat structure, autonomy, fast-paced projects, and collaboration with world-class talent.
• Results-driven environment with career growth and continuous learning opportunities.
• Competitive salary and company benefits.
• Remote-first, work-from-home arrangement, subject to the nature of the role and team.
• Equal opportunity workplace with a focus on workforce diversity.