AI Hiring Index

Firecrawl · Infrastructure · Unspecified · Posted 2026-07-12

Backend Infrastructure Engineer

Firecrawl · San Francisco HQ; Toronto Hub · $235k–260k base

This range's midpoint is above 69% of posted infrastructure ranges at AI companies right now. See the salary index.

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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: $235,000–$260,000 USD/year (SF) / $217,000–$233,000 CAD/year (Toronto)

Equity Range: Competitive equity. Details shared during the process.

Location: San Francisco, CA (SF HQ) or Toronto, ON (Toronto Hub). On-site, five days a week.

Job Type: Full-Time

Experience: 3+ years in backend, networking, or infrastructure engineering

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.

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. It's the boring-hard problem everyone building with LLMs eventually hits, solved.

In September 2026 we raised a $75M Series B led by Smash Capital, and we're spending it building the largest repository of knowledge in the world. We hit 8 figures in ARR in year one and more than doubled it in year two. We have 183k+ GitHub stars, putting us in the top 50 repositories of all time, 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, working out of SF HQ and our new Toronto Hub. 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 building the tools superintelligence will rely on to gather data from the web. That library is called Alexandria, and it starts now.

WHAT YOU'LL DO

- Build and maintain the infrastructure that powers reliable data collection at scale

- Improve success rates against sites with aggressive defenses

- Own the health, rotation, and cost efficiency of the proxy layer

- Push throughput and reliability under heavy, spiky, real-world load

- Debug hard, intermittent failures across the stack and make them stay fixed

WHAT WE'RE LOOKING FOR

- You've worked on networking, proxies, or high-throughput backend systems

- You're relentless about reliability and comfortable in messy, adversarial problem spaces

- You can own a system end to end and keep it healthy in production

- You move fast and close the loop. You'd rather ship, measure, and iterate than perfect on paper

WHAT WE'RE NOT LOOKING FOR

- Someone who wants clean, well-defined problems only

- Someone who avoids on-call or production ownership

- Someone who needs the environment to be stable to do their best work

A NOTE ON PACE

We operate at an absurd level of urgency because the window for what we're building won't stay open forever. If that excites you, keep reading. If it doesn't, no hard feelings, but this role probably isn't for you.

BENEFITS & PERKS

AVAILABLE TO ALL EMPLOYEES

- Salary that makes sense: $235,000–$260,000 USD/year (SF) / $217,000–$233,000 CAD/year (Toronto), based on impact, not tenure

- Own a piece: Gain competitive equity in what you're helping build

- Generous PTO: 15 days mandatory, anything after 24 days, just ask (holidays excluded). Take the time you need to recharge

- Parental leave: 12 weeks fully paid, for all parents …

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See also: Infrastructure Engineer jobs · AI jobs in San Francisco Bay Area · Firecrawl salaries · LLMs jobs · Agents jobs.

This listing is reproduced from Firecrawl's public careers feed and links to the original. AI Hiring Index is not the employer and does not accept applications. All Firecrawl roles · AI salaries.