Gogolook
Gogolook
51 – 200 Employees
CybersecurityFintechSaaS
Gogolook is a TrustTech company working across cybersecurity, fintech, and SaaS to reduce communication fraud and digital risk. Founded in 2012, its team develops AI- and data-driven identification and verification solutions, including Whoscall, a consumer service that helps identify unknown callers and block spam. Gogolook also supports scam-prevention initiatives, cybersecurity education, and risk services for businesses, partnering with public and private organizations to strengthen digital trust, particularly across Southeast Asia.

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.

Description

  • 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

Requirements

  • 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

Benefits

  • 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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