Gogolook
Gogolook
51 – 200 Қызметкерлер
SaaSКиберқауіпсіздікФинтех
Gogolook — байланыс алаяқтығы мен цифрлық тәуекелдерді азайту үшін киберқауіпсіздік, финтех және SaaS салаларында жұмыс істейтін TrustTech компаниясы. 2012 жылы құрылған компанияның командасы Whoscall тұтынушылық сервисін қоса алғанда, белгісіз қоңырау шалушыларды анықтауға және спамды бұғаттауға көмектесетін жасанды интеллект пен деректерге негізделген сәйкестендіру және верификация шешімдерін әзірлейді. Gogolook сонымен қатар цифрлық сенімді нығайту үшін алаяқтықтың алдын алу бастамаларын, киберқауіпсіздік бойынша білім беруді және бизнеске арналған тәуекел қызметтерін қолдайды, әсіресе Оңтүстік-Шығыс Азиядағы мемлекеттік және жеке ұйымдармен серіктестік орнатады.

Backend Engineer, Data Acquisition (Anti-Scam) at Gogolook — Hybrid Taiwan

Build scalable crawling infrastructure and fraud-signal pipelines for Gogolook’s Watchmen brand-protection platform. Replace costly external crawler services with resilient, in-house systems.

Сипаттама

  • Build and operate production-grade web crawling infrastructure across social platforms and public websites
  • Develop resilient collection systems with headless browsers, IP rotation, scheduling, rate limiting, retries, observability, and automated recovery
  • Own extraction and normalization pipelines that convert crawled content into structured fraud signals
  • Lead the transition from external crawler services to cost-efficient internal solutions
  • Improve infrastructure cost efficiency, performance, and architecture
  • Work with backend, data, and product teams to connect crawler outputs to Watchmen and broader fraud-intelligence systems
  • Raise technical quality and reduce accumulated technical debt
  • Coordinate with Legal and Security on compliance, privacy, retention, and auditability
  • Extend crawler coverage to additional social platforms and fraud indicators
  • Create reusable crawling infrastructure for B2B products and AI/ML detection initiatives

Талаптар

  • Proven experience building and operating crawlers in production at scale
  • Experience designing resilient collection systems with Playwright, Puppeteer, or comparable headless-browser tools
  • Experience with large-scale URL scheduling and structured data extraction pipelines
  • Strong understanding of HTTP and TLS protocol internals
  • Ability to assess bot-detection signals and develop robust collection systems
  • Proficiency in Python and JavaScript
  • Practical AWS infrastructure experience with services such as EC2, ECS, Lambda, and S3
  • Three to seven years of software engineering experience in data acquisition or backend systems
  • Hands-on experience with AI coding agents such as Claude Code or Codex
  • Strong cross-functional collaboration skills and comfort working in a hybrid setting
  • Working proficiency in written English for technical documentation

Артықшылықтар

  • Opportunities to participate in technical community activities
  • Subsidies for conference and workshop attendance
  • Support for professional development and ongoing learning
  • Flexible hybrid working arrangements
  • Transparent culture with access to company information and channels for feedback

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