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# Web Automation Engineer

- **Company:** SIDEGUIDE TECHNOLOGIES INC.
- **Location:** San Francisco, CA, United States
- **Experience:** Experienced
- **Salary:** $235,000.0 - $260,000.0
- **Contract:** Permanent contract
- **Skills:** JavaScript (Programming Language), Networking Basics, Reverse Engineering, Puppeteer (Software), Playwright
- **Published:** September 17, 2026
- **Apply:** https://startup.jobs/web-automation-engineer-firecrawl-10094211

## About the Role

Experience: 3+ years building browser automation, web infrastructure, or systems-level software

Work Authorization: Must be authorized to work in the United States or Canada. We're not able to sponsor US visas right now. For Canada, we'll consider sponsorship on a case-by-case basis through our Toronto Hub., * Languages: Strong JavaScript/TypeScript and/or Python, and comfortable picking up whatever a problem demands

 * Browser internals: Real understanding of rendering, JS engines, headless automation (CDP, Playwright, Puppeteer), and where automated browsers differ from real ones
 * Network fundamentals: Solid grasp of HTTP/TLS, proxies, and browser and device fingerprinting
 * Reverse-engineering instincts: You can read minified, obfuscated code and figure out what it's actually checking
 * Research with a shipping habit: You go deep on how something works, then land the fix in production, not just a writeup
 * Nice to have: Deobfuscating JavaScript and VM-based obfuscation, network-level fingerprinting (TLS/HTTP2 signatures, JA3/JA4), running large browser or proxy fleets in production, or prior work at a scraping, web data, security research, or automation company, * Narrow lane: Someone who wants to specialize narrowly and hand off everything else
 * Process first: Someone who optimizes for process over shipping

## Description

* Reverse engineer detection: Research how modern websites detect and challenge automated traffic, and take apart those mechanisms and challenge flows
 * Find the signals: Identify the browser, device, network, and behavioral signals that separate automated access from human traffic
 * Replicate and harden: Reproduce those signals synthetically in authorized test environments to validate and harden our approaches
 * Turn research into production: Build the automation, diagnostic, and monitoring tools that keep scrape reliability high as the web shifts
 * Own scrape success rate: Measure it, explain regressions, and ship the fixes
 * Ship fleet-wide: Work with platform engineers to roll improvements out across the crawling fleet at scale