Web Security Detection Researcher (Equity Eligible)

Cloudflare

United States

On-site

USD 150,000 - 185,000

Full time

14 days+

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Benefits offered by this job

Health care benefits
401(k) Retirement Savings Plan
Employee Stock Participation Plan
Flexible paid time off

Job summary

United States Digital Space LLC is seeking a security-focused professional to join our Detection team in New York, specializing in anti-bot and anti-fraud capabilities. You will reverse-engineer adversaries, develop detection signals, and automate investigations to scale defenses across our global network.

The role requires deep web expertise, proficiency in Python/JavaScript, and an adversarial mindset to stay ahead of evolving threats.

Qualifications

  • Strong understanding of web security and attacker tooling.
  • Experience with reverse engineering and ethical hacking.
  • Proficiency in scripting languages (Python/JavaScript) for PoCs and tooling.

Responsibilities

  • Study adversaries by reverse-engineering bot tools and fraud kits.
  • Probe detections like an attacker to close gaps and stay ahead.
  • Track bot and fraud ecosystems and convert insights into detection signals.
  • Develop heuristics, signatures, and detection ideas with Data Scientists and Engineers.
  • Design mitigations that preserve detection signals while neutralizing attackers.
  • Automate analyst workflows by turning manual investigations into scalable processes.

Skills

Web security
HTTP/TLS knowledge
Fingerprinting
CAPTCHAs
Ethical hacking
Reverse engineering
Python
JavaScript

Tools

Python
JavaScript

Job description

United States Digital Space LLC is seeking a security-focused professional to join our Detection team in New York, specializing in anti-bot and anti-fraud capabilities. You will reverse-engineer adversaries, develop detection signals, and automate investigations to scale defenses across our global network.

The role requires deep web expertise, proficiency in Python/JavaScript, and an adversarial mindset to stay ahead of evolving threats.

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