Gogolook
Gogolook
Gogolook एक TrustTech कंपनी है जो संचार धोखाधड़ी और डिजिटल जोखिम को कम करने के लिए साइबर सुरक्षा, फिनटेक और SaaS के क्षेत्रों में काम करती है। 2012 में स्थापित, इसकी टीम AI और डेटा-आधारित पहचान तथा सत्यापन समाधान विकसित करती है, जिनमें Whoscall भी शामिल है—यह एक उपभोक्ता सेवा है जो अज्ञात कॉल करने वालों की पहचान करने और स्पैम को ब्लॉक करने में मदद करती है। Gogolook घोटाला-रोकथाम पहलों, साइबर सुरक्षा शिक्षा और व्यवसायों के लिए जोखिम सेवाओं का भी समर्थन करती है तथा डिजिटल विश्वास को मजबूत करने के लिए सार्वजनिक और निजी संगठनों के साथ साझेदारी करती है, विशेष रूप से दक्षिण-पूर्व एशिया में।

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.

विवरण

  • 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

आवश्यकताएँ

  • 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

लाभ

  • 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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