Full Stack Engineer, AI-Powered Identity Security

Binance; Hong Kong; On-site; HKD 900,000 - 1,500,000; Full time

Job summary

Binance is seeking a frontend/full-stack engineer to design, build, and scale the login, registration, and security UX used by hundreds of millions of users. You will own in-house AI facial recognition for KYC, implement WebAuthn passkeys, MFA flows, and cross‑platform security components across web and mobile clients.

You will collaborate with AI, product, and risk teams to deliver secure, high‑performance authentication experiences, while maintaining robust test coverage, observability, and

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.
• 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.
• Solid engineering practice: modular architecture, component design, unit and E2E testing, CI/CD, and responsible judgment on breaking changes to shared libraries.
• Proficient with AI-assisted development tools (Cursor / Claude Code / Copilot, etc.)
• 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.

Responsibilities

• Design, develop, and maintain the login, registration, and account security applications across web and mobile clients.
• Build the in-house AI facial recognition security product end to end — KYC verification, liveness detection, face matching.
• Build authentication capabilities end to end: passkeys / WebAuthn, authenticator apps, security keys, SMS and email verification, and biometric flows.
• Own the multi-factor authentication orchestration layer — verification strategy, step-up logic, and user-level customization — balancing security strength against completion rate with measurable outcomes.
• 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.

Skills

React 18+

TypeScript

HTML/CSS/JS

Node.js

WebAuthn / FIDO2

OAuth 2.0 / OIDC

Unit & E2E testing

CI/CD

Docker / Kubernetes

Mandarin

English

Education

Bachelor's or Master's degree in CS/Engineering

Tools

Docker

Kubernetes

CI/CD tooling

Job description

Binance is seeking a frontend/full-stack engineer to design, build, and scale the login, registration, and security UX used by hundreds of millions of users. You will own in-house AI facial recognition for KYC, implement WebAuthn passkeys, MFA flows, and cross‑platform security components across web and mobile clients.

You will collaborate with AI, product, and risk teams to deliver secure, high‑performance authentication experiences, while maintaining robust test coverage, observability, and