Threat Detection Researcher — Web Security & Bots

CloudFlare; Northern, New York (KY, NY); On-site; USD 150,000 - 185,000; Full time

Benefits offered by this job

Equity plan

Health & Welfare Benefits

401(k) Retirement Savings Plan

Flexible paid time off

Job summary

Cloudflare is seeking for its Detection team a security-focused professional who can study adversaries, reverse-engineer bot tools, and translate attacker behavior into robust detection signals. You will work with Data Scientists and Engineers to implement heuristics and mitigate evolving threats while preserving detection capabilities.

This role emphasizes proactive exploration, automation, and clear communication across technical and non-technical audiences, with compensation aligned to New

Qualifications

• Experience in ethical hacking and reverse engineering.
• Ability to translate attacker data into actionable signals for defenders.
• Familiarity with web application security and bot/fraud detection concepts.

Responsibilities

• Study adversaries deeply by reverse-engineering bot tools and fraud kits.
• Probe detections like an attacker would to identify gaps.
• Track bot and fraud ecosystems through tooling and marketplaces.
• Develop heuristics, signatures, and detection ideas with Data Scientists and Engineers.
• Design mitigations that neutralize attackers without compromising signals.
• Automate manual investigations into scalable detection workflows.

Skills

Ethical hacking

Reverse engineering

Adversarial mindset

Detector signals

Job description

Cloudflare is seeking for its Detection team a security-focused professional who can study adversaries, reverse-engineer bot tools, and translate attacker behavior into robust detection signals. You will work with Data Scientists and Engineers to implement heuristics and mitigate evolving threats while preserving detection capabilities.

This role emphasizes proactive exploration, automation, and clear communication across technical and non-technical audiences, with compensation aligned to New