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Firecrawl is seeking a seasoned Infrastructure Engineer to design, build, and operate cloud and on‑prem infrastructure behind our data products. You will run large stateful workloads on Kubernetes, manage CI/CD and IaC, and optimize cost per request while scaling traffic and data volume.
Ideal candidates have 5+ years in DevOps or platform engineering, deep cloud experience (GCP/AWS/Azure), and hands-on knowledge of containers, Terraform, and observability.
You'll build the cloud infrastructure that turns the open web into data — the platform beneath Firecrawl's crawling, scraping, and search products. We need engineers who can make that foundation — Kubernetes, storage, networking, deployments — fast, reliable, and cheap at web scale. You'll own real infrastructure from day one — not tickets in a backlog.
Salary Range: $240,000–$275,000/year
Equity Range: Competitive equity — details shared during the process.
Location: San Francisco, CA (Hybrid, on-site required)
Job Type: Full-Time
Experience: 5+ years in DevOps, Platform Engineering or Cloud Infrastructure
Visa: Must be legally authorized to work in the United States. We're not able to sponsor visas right now, though that may change down the line.
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 170k+ 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 building the tools superintelligence will rely on to gather data from the web.
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.
Available to all employees
Available to US-based full-time employees
Available to SF-based employees
Application Review — Send us your work and a quick note on why this excites you. Show us what you've built — clusters you've run, pipelines you've automated, incidents you've tamed. We care about what you've shipped, not where you went to school.
Intro Chat (~25 min) — A quick conversation to get to know each other before we go deep. We'll talk about what you've been working on, what drew you to Firecrawl, and what you're looking for in your next role. Time for your questions too.
Technical Chat (~45 min) — We'll dig into a real problem from our world examples include: running stateful clusters on Kubernetes, scaling a index fleet under growing traffic, or driving down cost per request — and talk through how you'd approach it. Come ready to think out loud; we care how you reason, not whether you memorized the answer.
Founder Chat (~25 min) — Culture, pace, ownership, and how you like to work. Time for your questions too.
Paid Work Trial (1-2 weeks) — Work with the team on a real, scoped piece of the product — paid at a contractor rate. It's the truest signal for both sides: you see what building at Firecrawl actually feels like, and we see how you ship. Remote-friendly, and we'll flex around your current commitments.
Decision — We move fast after the trial.
If you want to build the infrastructure that turns the whole web into data at a cost that shouldn't be possible, you should join us.