Full Stack Engineer (Frontend Oriented) — Identity & Security

• Collaborate closely with the AI algorithm team to integrate facial recognition, liveness detection, and other AI model capabilities into the product frontend and backend, building high-concurrency, low-latency online inference services

• Maintain and evolve the shared security component and logic libraries consumed by multiple product applications, and the authentication SDKs published to teams across the company; take responsibility for bundle size, initialization behavior, and backward compatibility

• Develop and operate the Node.js server-side layer: server-side rendering, route-level authentication guards, session validation and redirects, localized routing, and first-paint performance

• Build and refine the BFF layer — aggregating upstream security services and turning raw error codes into results the frontend can consume and users can act on

• Implement platform-specific behavior for web, mini program, and low-end device targets while keeping shared and platform-specific code cleanly separated

• Drive engineering quality: unit and end-to-end test coverage, instrumentation and observability, build and local development experience

• Use funnel and event data to find drop-off in login and verification flows, and drive optimization from evidence rather than intuition

• Collaborate closely with product, design, risk, customer support, backend, iOS, and Android teams; independently own the end-to-end design and delivery of a sub-domain such as passkeys, MFA orchestration, or facial recognition verification

Minimum qualifications

• 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

Nice to have

• 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

Why Binance

• Shape the future with the world’s leading blockchain ecosystem

• Collaborate with world-class talent in a user-centric global organization with a flat structure

• Tackle unique, fast-paced projects with autonomy in an innovative environment

• Thrive in a results-driven workplace with opportunities for career growth and continuous learning

• Competitive salary and company benefits

• Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)

Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.

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• Frontend
• Engineering

Source: Binance careers page