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Salary
$246k – $271k per year
Location
Hybrid (San Francisco, United States)
Seniority
Senior · 5+ years exp
Visa
No sponsorship (stated in the posting)
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 18, 2026. First seen by Alion on Aug 20, 2026. Firecrawl scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Firecrawl builds a web data API that lets developers and AI agents search, scrape, crawl and interact with websites and receive the content as clean markdown or structured JSON. The service is backed by an open-source crawler with tens of thousands of GitHub stars and, since September 2026, by Alexandria, a layer that combines official data providers, custom connectors and its own indexes with live web access behind one interface. The San Francisco company came out of Y Combinator, counts more than 1.5 million users, and raised a $14.5 million Series A in 2025 and a $75 million Series B led by Smash Capital in 2026.

Cloud DevOps Engineer

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.

Location: San Francisco, CA (SF HQ) or Toronto, ON (Toronto Hub). Hybrid, onsite 3+ days a week.

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

Location: San Francisco, CA (SF HQ) or Toronto, ON (Toronto Hub). Hybrid, onsite 3+ days a week.

Job Type: Full-Time

Experience: 5+ years in DevOps, Platform Engineering, or Cloud Infrastructure

Work Authorization: Open to candidates already authorized to work in the US or Canada. In the US, we also support H-1B transfers, F-1 OPT and STEM OPT, TN (Canada and Mexico), and E-3 (Australia). We’re not able to sponsor new H-1B visas for candidates outside the US. For Canada, we’ll consider work permit sponsorship case by case 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 187k+ GitHub stars, putting us in the top 40 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. 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

  • Design, build, and operate GCP and on-prem infrastructure behind Firecrawl's products

  • Run large stateful and high-throughput workloads on Kubernetes (search clusters, crawling fleets, queues, and databases) with zero-downtime upgrades

  • Own CI/CD, Infrastructure as Code, automations, and containerized deployments across the platform

  • Drive down infrastructure cost per request while traffic and data volume grow

  • Build the observability that keeps latency, throughput, and reliability predictable, and define the SLIs, SLOs, and customer-facing SLAs we hold ourselves to

  • Build and support our enterprise controls: SSO/SAML, RBAC, audit logging, tenant isolation, private networking, and the infrastructure behind SOC 2 and customer security reviews

  • Work directly with product and search engineers to productionize new services, retrieval, and ML workloads

  • Own the incident lifecycle with engineers, from on-call and triage process to postmortems and resolution

What We're Looking For

  • You've operated stateful distributed systems on Kubernetes at real scale, not just stateless services

  • You have deep experience with a major cloud (GCP, AWS, or Azure), Docker, and Terraform. MLOps or ML-serving infrastructure experience (GPU workloads, model deployment pipelines) is a plus

  • You've run large-scale, data-heavy systems in production: search platforms, crawling or ingestion pipelines, or comparable. Hands-on experience operating Vespa is a strong plus

  • You care about latency, cost, and reliability in equal measure

  • Experience with security and compliance infrastructure (SSO/SAML, audit logging, network isolation, SOC 2) is a strong plus

  • You're comfortable owning ambiguous problems and turning them into shipped infrastructure

What We're NOT Looking For

  • Someone who needs a fully-specced ticket to start

  • Someone who wants to specialize narrowly and hand off everything else

  • Someone who optimizes for process over shipping

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: $246,000-$271,000 USD/year (SF) / $204,000-$212,000 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

  • Wellness stipend: $100 USD/month for the gym, therapy, massages, or whatever keeps you human

  • Learning & Development: Expense up to $1,000 USD/year toward anything that helps you grow professionally

  • Team offsites: A change of scenery, minus the trust falls

  • Sabbatical: 3 paid months off after 4 years, do something fun and new

Available to US-based full-time employees

  • Full coverage, no red tape: Medical, dental, and vision (100% for employees, 50% for partner and kids). No weird loopholes, just care that works

  • Life & Disability insurance: Employer-paid basic life and AD&D, short-term disability, and long-term disability. Coverage for life's curveballs

  • Virtual care and a health guide: Teladoc for the couch doctor visit, plus Rightway to answer coverage questions and fight billing errors for you

  • Mental health: Talkspace, therapy and psychiatry on your schedule

  • Fertility and family building: Carrot, covering you and your partner

  • EAP: Free confidential counseling, legal and financial consults, and online will prep through Guardian

  • 401(k) plan: Retirement might be a ways off, but future-you will thank you

  • Pre-tax benefits: HSA, FSA, and commuter benefits to help your wallet out a bit

  • Supplemental options: Extra life and AD&D, accident, critical illness, hospital indemnity, plus pet, legal, and identity protection through MetLife

Available to Canada-based full-time employees

  • Full coverage, no red tape: Extended health, dental, and vision through Manulife (Diamond, the top tier), 100% employer-paid for you, your partner, and your kids

  • Life & Disability insurance: Employer-paid life, AD&D, short-term disability, and long-term disability. Coverage for life's curveballs

  • Virtual care: Dialogue Premium, so you can see a doctor or nurse from your couch, any hour

  • Mental health: Talkspace Elite, therapy and psychiatry on your schedule

  • Fertility and family building: Carrot, covering you and your partner

  • Retirement: Group RRSP through Wealthsimple, so future-you can thank you

Available to SF-based employees

  • SF HQ perks: Snacks, drinks, team lunches, intense ping pong, and peak startup energy

  • E-Bike transportation: A loaner electric bike to get you around the city, on us

Available to Toronto-based employees

  • Toronto Hub perks: Snacks, drinks, team lunches, glass-walled views down University Avenue, and a home base steps from Union Station

  • Transit, covered: A PRESTO card loaded for GO Transit, subway, and streetcar, plus station parking if you drive to the train. Winter-proof, on us

Interview Process

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 (running stateful clusters on Kubernetes, scaling an index fleet under growing traffic, 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 (~40 Hours): 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.

Apply now.

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