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Cloud DevOps Engineer

Firecrawl


Job Location:

San Francisco, CA - USA

Yearly Salary: USD 240000 - 275000
Posted: 22 August 2026 (10 hours ago)
Application Deadline: 19 November 2026
Vacancies: 1 Vacancy

Job Summary

Cloud DevOps Engineer

Youll build the cloud infrastructure that turns the open web into data the platform beneath Firecrawls crawling scraping and search products. We need engineers who can make that foundation Kubernetes storage networking deployments fast reliable and cheap at web scale. Youll own real infrastructure from day one not tickets in a backlog.

Salary Range: $240000$275000/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. Were 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 170k GitHub stars and developers agents and category-defining AI companies build on us every day. Growth like this is rare and were just getting started.

Were 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.

What Youll Do
  • Design build and operate GCP and on-prem infrastructure behind Firecrawls 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 Were Looking For
  • Youve operated stateful distributed systems on Kubernetes at real scale not just stateless services

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

  • Youve 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 especially for the Core Platform focus

  • Youre comfortable owning ambiguous problems and turning them into shipped infrastructure

What Were 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 were building wont stay open forever. If that excites you keep reading. If it doesnt no hard feelings but this role probably isnt for you.

Benefits & Perks

Available to all employees
  • Salary that makes sense $240000$275000/year based on impact not tenure

  • Own a piece Gain competitive equity in what youre 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/month for the gym therapy massages or whatever keeps you human

  • Learning & Development Expense up to $1000/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 spouse/kids) no weird loopholes just care that works

  • Life & Disability insurance Employer-paid short-term disability long-term disability and life insurance coverage for lifes curveballs

  • Supplemental options Optional accident critical illness hospital indemnity and voluntary life insurance for extra peace of mind

  • Doctegrity telehealth Talk to a doctor from your couch

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

  • Pre-tax benefits Access to FSAs and commuter benefits (US-only) to help your wallet out a bit

  • Pet insurance Because fur babies are family too

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

Interview Process

Application Review Send us your work and a quick note on why this excites you. Show us what youve built clusters youve run pipelines youve automated incidents youve tamed. We care about what youve shipped not where you went to school.

Intro Chat (25 min) A quick conversation to get to know each other before we go deep. Well talk about what youve been working on what drew you to Firecrawl and what youre looking for in your next role. Time for your questions too.

Technical Chat (45 min) Well 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 youd 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. Its the truest signal for both sides: you see what building at Firecrawl actually feels like and we see how you ship. Remote-friendly and well 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 shouldnt be possible you should join us.

Apply now.


Required Experience:

IC


About Company

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The web crawling, scraping, and search API for AI. Built for scale. Firecrawl delivers the entire internet to AI agents and builders. Clean, structured, and ready to reason with.

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