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Bachelor's or Master's degree in Computer Science, Engineering, or equivalent industry experience
3–8 years of frontend or full stack engineering experience, including consumer-facing products taken from zero to one or evolved over multiple years
Strong web fundamentals: HTML, CSS, JavaScript/TypeScript, browser rendering, networking, caching, and performance optimization
Deep proficiency in React 18+ and TypeScript, with solid command of state management, data-fetching patterns, and complex multi-step form and flow orchestration
Production Node.js experience: server-side rendering or isomorphic applications, BFF layering, API aggregation and caching, and the ability to independently debug server-side runtime issues
A clear methodology for modeling complex flows — authentication and verification are highly branched, stateful, interruptible, and resumable, and need to be abstracted into testable, reusable models rather than nested conditionals
Solid engineering practice: modular architecture, component design, unit and E2E testing, CI/CD, and responsible judgment on breaking changes to shared libraries (versioning, staged rollout, rollback)
Proficient with AI-assisted development tools (Cursor / Claude Code / Copilot, etc.) with practical experience incorporating them into daily development workflows
Strong analytical and troubleshooting skills for diagnosing production issues, compatibility problems, and performance bottlenecks independently
Fluent in Mandarin, able to collaborate effectively with China-based teams
Effective communication in English within a distributed, cross-timezone, multi-team environment
Experience at AI / computer vision companies in business-side frontend or fullstack development
Hands-on experience in identity and authentication: WebAuthn / FIDO2 / passkeys, TOTP, OAuth 2.0 / OIDC, JWT and token lifecycle management, risk engines, or device fingerprinting
Experience building to-C security products, identity verification, or KYC-related products
Experience replacing third-party vendor solutions with in-house systems, ensuring smooth business transition
Knowledge of AI model engineering: model inference services, RAG systems, AI Agent architecture, or computer vision model integration
Cross-platform experience: mini programs, hybrid applications, and in-app webview bridging and debugging
Experience shipping shared component libraries or SDKs to third-party consumers — multi-entry bundling, tree-shaking, semantic versioning, and integration support
Internationalization and localization at scale: date and number formatting, RTL, and regional compliance differences
Background in finance, payments, or another high-security domain, with an understanding of the product trade-offs compliance imposes
Experience with monitoring and alerting, staged rollout, and A/B experimentation
Docker / Kubernetes / CI-CD pipeline experience
Binance is one of the world's largest cryptocurrency exchanges by trading volume, providing a platform for trading digital assets and blockchain services.
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