Firecrawl San Francisco, CA (Hybrid) OR Remote (Americas, UTC-3 to UTC-10) Posted 2026-07-12

Backend Infrastructure Engineer

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Job Description

BACKEND INFRASTRUCTURE ENGINEER You'll work on the infrastructure that makes Firecrawl fast and reliable against a web that constantly changes and fights back. This is deep systems work: keeping success rates high against sites with aggressive defenses, managing the proxy layer that powers reliable data collection at scale, and pushing throughput and reliability under heavy, spiky load. When Firecrawl "just works" on a site that tries hard to stop it, that's this team. You'll own real infrastructure from day one, not tickets in a backlog. Salary Range: $200,000–$250,000/year (Range shown is for U.S.-based employees in San Francisco, CA. Compensation outside the U.S. is adjusted fairly based on your country's cost of living.) Equity Range: Up to 0.05% Location: San Francisco, CA or Remote (Americas, UTC-3 to UTC-10) Job Type: Full-Time Experience: 3+ years in backend, networking, or infrastructure engineering Visa: Must already be authorized to work in the US or our eligible remote-hire regions. We're not able to sponsor visas right now, though that may change down the line. ABOUT FIRECRAWL Firecrawl is the easiest way to turn the web into data AI agents can use. One API call converts any URL into clean, LLM-ready markdown or structured data - the boring-hard problem everyone building with LLMs eventually hits, solved. We hit 8 figures in ARR in year one and more than doubled it in year two. We have 147k+ GitHub stars, and developers, agents, and category-defining AI companies build on us every day. Growth like this is rare, and we're just getting started. We're a small team punching far above our weight. Everyone here owns a real piece of the product and company, end to end, and runs it themselves - no hiding behind process or headcount. This is a place for people who want to work at the frontier: an AI company building the infrastructure other AI companies run on, not one bolting AI onto an existing product. We move fast, go deep, and are buildin