Remote Backend Infrastructure Engineer — Scale & Reliability

Firecrawl

San Francisco (CA)

Hybrid

USD 200,000 - 250,000

Full time

14 days+

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Benefits offered by this job

Salary that makes sense — $200,000–$$"
Own a piece — Up to 0.05% equity
Generous PTO — 15 days
Parental leave — 12 weeks fully paid
Wellness stipend — $100/month
Learning & Development — up to $1,000/
Team offsites
Sabbatical — 3 paid months off after 4

Job summary

Firecrawl is seeking a Backend Infrastructure Engineer to own the infrastructure that enables fast, reliable data collection as the web fights back. This role focuses on deep systems work, proxy layer health, and pushing throughput under heavy, spiky loads.

You will own real infrastructure from day one, improve success rates against aggressive defenses, and ensure production systems stay healthy end to end. This is a hands‑on, high‑impact position in a fast‑moving AI company.

Qualifications

  • 3+ years in backend, networking, or infrastructure engineering.
  • Relentless about reliability and comfortable in adversarial problem spaces.
  • Own a system end to end and keep it healthy in production.

Responsibilities

  • 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.

Skills

Networking
Proxies
Backend systems
Reliability

Job description

Firecrawl is seeking a Backend Infrastructure Engineer to own the infrastructure that enables fast, reliable data collection as the web fights back. This role focuses on deep systems work, proxy layer health, and pushing throughput under heavy, spiky loads.

You will own real infrastructure from day one, improve success rates against aggressive defenses, and ensure production systems stay healthy end to end. This is a hands‑on, high‑impact position in a fast‑moving AI company.

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