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DirectorВ офисеПолная занятость

Frontend Infra Engineering Director

Оценка ИИ

Высокий балл обусловлен лидерской ролью в топовой криптокомпании, фокусом на передовые технологии (AI, Infra) и глобальным масштабом задач. Вакансия предлагает отличные возможности для профессионального влияния на индустрию.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Это позиция высочайшего уровня сложности, требующая более 12 лет опыта, навыков управления командами от 20 человек и глубокой экспертизы в инфраструктуре для продуктов с 10 млн+ DAU. Особый акцент сделан на интеграции ИИ в процессы разработки, что требует инновационного подхода.

Анализ зарплаты

Медиана220 000 $
Рынок180 000 $ – 300 000 $
Оценка ИИ

Учитывая уровень Director в глобальной финтех/крипто компании, рыночная зарплата значительно выше средней по рынку. В регионе APAC для таких ролей характерны высокие бонусы и опционы.

Сопроводительное письмо

I am writing to express my strong interest in the Frontend Infra Engineering Director position at OKX. With over 12 years of experience in frontend development and a proven track record of managing large-scale engineering teams, I am excited about the opportunity to lead your frontend infrastructure team and drive technical excellence across the organization. My background includes building robust platforms for products with over 10M DAU, which aligns perfectly with OKX's scale and global reach.

I am particularly drawn to your focus on AI-native engineering systems and Spec-Driven Development. In my previous roles, I have successfully integrated AI tools into the R&D lifecycle and established high standards for code quality and system design. I am confident that my expertise in modern frameworks, compiler toolchains, and cross-platform architectures, combined with my ability to lead through technical influence, will enable me to make a significant contribution to OKX's mission of reshaping the future of finance.

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Присоединяйтесь к лидеру криптоиндустрии и возглавьте трансформацию фронтенд-инфраструктуры в эпоху ИИ!

Описание вакансии

Who We Are

At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.

OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.

Across our multiple offices globally, we are united by our core principles: We Before Me, Do the Right Thing, and Get Things Done. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.

About the Opportunity

About the Role

We're looking for a technical lead to build, own, and continuously evolve our company-level frontend infrastructure platform. You'll oversee the entire frontend engineering ecosystem — not just building tools and platforms, but driving engineering standards across the company through technical influence, and leading the team's evolution from tool users to system builders in the AI era.

Core Responsibilities

Team & Organization Own the frontend infrastructure team end-to-end: hiring, development, and pipeline building. Define the team's technical roadmap and drive cross-team collaboration across Product, Backend, Architecture, and Security.

Frontend Infrastructure Lead the design and evolution of the company-level frontend infrastructure, including: component libraries and design systems, engineering toolchains (scaffolding, build systems, CI/CD), monitoring and observability platforms, performance optimization frameworks, cross-platform architectures, and micro-frontend systems.

AI & Intelligent Engineering Deeply integrate AI into the full frontend R&D lifecycle. Lead the team's evolution from "using AI tools" to "building AI-native engineering systems." Drive team and individual AI working patterns, and implement intelligent R&D workflows grounded in Spec-Driven Development methodology.

Technical Governance Define frontend technical standards and security policies. Drive tech stack alignment and evolution across the company. Systematically identify and address technical debt. Ensure infrastructure stability, scalability, and security at scale.

Influence & Evangelism Build frontend technical credibility at the company level. Engage with the broader industry externally. Attract high-potential engineering talent.

Requirements

Baseline

  • Bachelor's degree or above in CS or related field; top university or top-tier tech company background preferred; 12+ years of frontend development experience including 6+ years managing scaled technical teams (20+ engineers)
  • Proven track record leading frontend infrastructure for products with DAU 10M+ or platforms handling extreme traffic scale; deep understanding of large-scale engineering complexity and reliability
  • Expert-level command of the full frontend stack: modern frameworks (React/Vue to internals level), compiler toolchains (custom Webpack/Vite/Rollup development), runtime performance optimization, cross-platform architectures (Web / mini-programs / RN / Flutter), and Node.js
  • Complete experience building frontend technical governance: R&D standards, quality gates, technical debt management, and canary release infrastructure
  • Extensive cross-BU, cross-team technical collaboration experience; proven ability to land company-wide standards through technical influence rather than administrative authority

Engineering Competencies for the AI Era (Core)

  • Strong ability to frame and model complex problems; defines the right boundaries and abstractions — not just implements features
  • Cross-layer judgment: balances business objectives, model capabilities, and system costs under constraint
  • Proven ability to constrain, guide, and evaluate AI outputs — decomposing complex requirements into AI-executable task sequences
  • Experience establishing team-level AI working patterns, including redefining code review mechanisms and quality standards in an AI-assisted environment
  • Familiar with and having practiced AI Spec-Driven Development; able to embed this methodology into the frontend engineering system
  • Maintains high standards for code quality and system design integrity alongside AI-assisted development

Soft Skills

  • Strong technical judgment — makes correct architectural decisions in complex, ambiguous environments
  • Strong ownership — self-driven to land complex cross-organizational initiatives
  • Clear, structured communication — conveys technical value effectively to diverse audience. Bilingual: fluent English for technical discussions, documentation, and international collaboration (written and verbal at working proficiency)

*Discl*aimer: Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong.

Notice:

All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website.

Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX's Candidate Privacy Notice.

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Навыки

  • React
  • Vue
  • Webpack
  • Vite
  • Rollup
  • Node.js
  • CI/CD
  • Micro-frontends
  • React Native
  • Flutter
  • TypeScript
  • System Design

Возможные вопросы на собеседовании

Проверка опыта управления крупными изменениями без прямого административного ресурса.

Опишите случай, когда вам пришлось внедрять новый технический стандарт во всей компании. Как вы преодолевали сопротивление команд?

Оценка видения кандидата относительно будущего фронтенд-разработки.

Как, по вашему мнению, должна измениться роль фронтенд-инфраструктуры в условиях перехода к AI-native разработке?

Проверка технических знаний в области масштабируемости.

С какими основными вызовами производительности вы сталкивались при поддержке приложений с 10M+ DAU и как их решали на уровне инфраструктуры?

Оценка навыков управления техническим долгом.

Как вы выстраиваете процесс идентификации и приоритизации технического долга в масштабах всей организации?

Проверка методологической подготовки.

Расскажите о вашем опыте внедрения Spec-Driven Development. Какие метрики эффективности вы использовали?

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