Frontend-Driven Full-Stack Engineer: Identity & Security

Binance; Singapore; Remote; SGD 140,000 - 210,000; Full time

Benefits offered by this job

Remote-first, work-from-home

Job summary

Binance is building the Identity & Security team to own login, registration, and account security across web and mobile clients. You will help design and implement an in-house AI facial recognition system for KYC verification, liveness detection, and face matching, replacing third-party vendors.

You will own end-to-end authentication flows including passkeys, WebAuthn, MFA orchestration, and platform-specific implementations, while collaborating with AI, product, risk, and backend teams to

Qualifications

• Bachelor's or Master's degree in CS, Engineering, or equivalent industry experience.
• 3–8 years of frontend or full stack engineering experience in 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 forms.
• Production Node.js experience: SSR 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.
• 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) with practical experience incorporating them into daily development workflows.
• Fluency in Mandarin is required to coordinate with overseas partners and stakeholders.

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 / FIDO2 (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.
• Collaborate closely with the AI algorithm team to integrate facial recognition, liveness detection, and other AI model capabilities into the product frontend and backend.
• 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.
• 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

Frontend engineering

Full stack

React 18+

TypeScript

Node.js

CI/CD

Unit testing

E2E testing

Mandarin fluency

Education

Bachelor's or Master's degree

Tools

Cursor / Claude Code / Copilot

Job description

Binance is building the Identity & Security team to own login, registration, and account security across web and mobile clients. You will help design and implement an in-house AI facial recognition system for KYC verification, liveness detection, and face matching, replacing third-party vendors.

You will own end-to-end authentication flows including passkeys, WebAuthn, MFA orchestration, and platform-specific implementations, while collaborating with AI, product, risk, and backend teams to