Responsibilities:

  • Write and tune Intrusion Detection System rules grounded in observed network behavior to maintain dataset accuracy.
  • Maintain and improve tag coverage by adding new tags, fixing broken ones, and de-duplicating overlaps to protect customers.
  • Use internal CLI tooling to lint, test, and deploy detection rules and tags at scale, validating against real traffic.

Operational Execution:

  • Triage a steady stream of inbound detection requests, CVEs, and internal coverage questions processed weekly.
  • Ensure detections are wired correctly end-to-end, from raw data through rule logic to tag output for reliable performance.
  • Flag edge cases, collisions, and unexpected behavior in tags or rules for deeper follow-up and resolution.

Collaboration and Impact:

  • Work closely with researchers to keep them focused on longer-horizon projects by handling foundational detection work.
  • Communicate clearly about work progress, blockers, and trade-offs to internal teams like sales and support.
  • Develop reliable instincts for prioritizing detection issues to enable predictable, systematic coverage and faster answers.

GreyNoise Intelligence

GreyNoise Intelligence is a mission-driven security startup that provides real-time, verifiable threat intelligence on internet scanning and exploitation actors to help organizations mitigate perimeter risks. The company leverages a global fleet of sensors and advanced data science, fostering a remote-first, transparent, and execution-focused culture for its distributed team.

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