**About the Role** We're looking for a Senior Engineer to own our property data pipeline. You'll design, build, and operate scraping infrastructure that ingests 300,000\+ real estate listings daily from protected sources. This is not a scripting role. You'll architect distributed, fault\-tolerant systems that run unattended with near\-perfect uptime. You should be as comfortable discussing proxy rotation strategies as you are designing queue\-based architectures. You've had scrapers break at 2 AM and know how to prevent it from happening again. What You'll Do Design and operate distributed scraping systems processing 300K\+ records daily with 99\.5%\+ reliability. Architect parallel processing pipelines with concurrent workers, intelligent rate limiting, and horizontal scaling. Defeat enterprise anti\-bot solutions (Cloudflare, PerimeterX, DataDome, Akamai) through fingerprint management and proxy optimization. Build monitoring and alerting that catches failures before downstream systems are impacted. Maintain data quality through automated validation and anomaly detection. What We're Looking For **Experience:** 5\+ years in software engineering, 3\+ years focused on large\-scale web scraping. You've operated production systems at 250K\+ records/day and have defeated major anti\-bot platforms. **Technical:** Expert in Python or Node.js. Strong with asyncio, multiprocessing, and distributed worker architectures. Deep knowledge of HTTP internals, headless browsers (Puppeteer/Playwright), and proxy infrastructure. Experience with AWS/GCP, Docker, Kubernetes, and message queues. **Anti\-Bot Expertise:** You understand browser fingerprinting, TLS signatures (JA3/JA4\), and the trade\-offs between residential, datacenter, and ISP proxies. Familiarity with Oxylabs, Bright Data, or similar enterprise providers. **Bonus:** Experience with real estate data (MLS, Realtor.com, Zillow). Background in reverse engineering JavaScript obfuscation. This Role Is Not For You If... Your experience is primarily with managed tools like ScraperAPI, Apify, or Scrapy Cloud. You've built scrapers but never operated them in production long\-term. You can't explain the difference between residential and datacenter proxies, or why it matters. You've never had to debug why a scraper suddenly stopped working. Job Type: Full\-time Pay: $2,636,450\.00 \- $4,101,145\.00 per month Work Location: Remote Expected Start Date: 26/01/2026