Full Stack Engineer (Web,Frontend Oriented) — AI Facial Recognition, Identity & Security

Binance is a leading global blockchain ecosystem behind the world's largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, and more. Our mission is to increase the freedom of money and financial access for people around the world. About The Team The Identity & Security team owns the front door to Binance. We build and operate the registration, login, and account security experience used by every one of our 300M+ users — social login, OAuth and third-party authorization, multi-factor authentication, passkeys and FIDO2, device management, account activity, and account closure. We are currently building an in-house AI facial recognition security product for KYC verification and user safety, replacing our existing third-party vendor solution. This is a to-C product serving hundreds of millions of users, directly impacting account security and identity verification experience at scale. Our work sits where three forces meet: enormous scale, strict security and regulatory constraints, and the reality that one extra verification step can block an attacker or lock out a legitimate user. We ship across web, mobile mini programs, and in-app webviews, and we publish the shared authentication libraries and SDKs that the rest of Binance builds on. What You'll Do Build the in-house AI facial recognition security product end to end — KYC verification, liveness detection, face matching — replacing the existing third-party vendor solutionBuild authentication capabilities end to end: passkeys / FIDO2 (WebAuthn), authenticator apps, security keys, SMS and email verification, and biometric flowsOwn the multi-factor authentication orchestration layer — verification strategy, step-up logic, and user-level customization — balancing security strength against completion rate with measurable outcomesCollaborate 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 servicesMaintain 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 compatibilityDevelop and operate the Node.js server-side layer: server-side rendering, route-level authentication guards, session validation and redirects, localized routing, and first-paint performanceBuild and refine the BFF layer — aggregating upstream security services and turning raw error codes into results the frontend can consume and users can act onUse funnel and event data to find drop-off in login and verification flows, and drive optimization from evidence rather than intuitionCollaborate 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 What We're Looking For Bachelor's or Master's degree in Computer Science, Engineering, or equivalent industry experience3–8 years of frontend or full stack engineering experience, including consumer-facing products taken from zero to one or evolved over multiple yearsStrong web fundamentals: HTML, CSS, React, JavaScript/TypeScript, browser rendering, networking, caching, and performance optimizationProduction Node.js experience: server-side rendering or isomorphic applications, BFF layering, API aggregation and caching, and the ability to independently debug server-side runtime issuesA 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 conditionalsSolid 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 workflowsFluency in Mandarin is required to be able to coordinate with overseas partners and stakeholders. Additional languages would be an advantage. Why Binance Shape the future of finance Collaborate with world-class talent in a user-centric global organization with a flat structureTackle challenging projects in a fast-paced and innovative enviornment with autonomyThrive in a results-driven workplace with opportunities for career growth and continu