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We're hiring a Senior Data Collection Engineer to build and maintain large-scale web scraping pipelines that operate reliably against anti-bot systems. You'll work at the intersection of browser automation, distributed systems, and stealth engineering.

What You'll Do

  • Architect and maintain scraping systems handling millions of daily requests
  • Orchestrate crawling workloads using Celery with Redis/RabbitMQ across distributed workers
  • Implement concurrent/parallel processing strategies to maximise throughput
  • Develop anti-detection techniques — cookie injection, fingerprint spoofing, user-agent rotation, header manipulation
  • Manage proxy infrastructure (residential, datacenter, mobile) with intelligent retry and failover logic
  • Monitor pipeline health, detect breakages, and build self-healing mechanisms

What You Bring

  • 3+ years in web scraping or browser automation at scale
  • Expert Python skills
  • Deep Selenium and/or Playwright experience — headless browsers, dynamic content, page interaction
  • Strong Celery knowledge for distributed task scheduling
  • Concurrency expertise — threading, multiprocessing, asyncio
  • Proven anti-detection skills:
    • Cookie/session management and user-agent emulation
    • Antidetect browser profiles (Multilogin, GoLogin, or custom)
    • Fingerprint manipulation (Canvas, WebGL, WebRTC, timezone spoofing)
  • Experience with CAPTCHA-solving services and proxy management
  • Solid understanding of HTTP protocols, headers, and cookies

Nice to Have

  • Scrapy, Puppeteer, or similar frameworks
  • Docker and cloud platforms (AWS/GCP/Azure)
  • Database experience — PostgreSQL, MongoDB, or Elasticsearch
  • SPA scraping and headless browser farm management
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