Security Detection Engineer

Whoop Whoop · Consumer · Boston, MA · Information Security

Security Detection Engineer responsible for designing, building, and scaling high-signal detections using Detection-as-Code principles, translating threat intelligence into actionable detections, and exploring advanced analytics and machine learning techniques to improve detection fidelity. The role involves continuous improvement of detection quality, defining and tracking detection KPIs, and partnering with various teams to ensure strong monitoring and detection coverage.

What you'd actually do

  1. Design, build, and scale high-signal detections across cloud, identity, endpoint, network, and application layers using Detection-as-Code principles.
  2. Develop and maintain detection logic aligned to real-world attacker behavior and frameworks such as MITRE ATT&CK across modern security platforms.
  3. Translate threat intelligence into actionable detections and validate effectiveness through adversary emulation and testing.
  4. Build behavioral detections to protect against threats such as account takeover, credential abuse, API misuse, automation attacks, privilege escalation, and data exfiltration.
  5. Continuously improve detection quality by tuning alerts, reducing false positives, and implementing automated enrichment and triage.

Skills

Required

  • Detection-as-Code principles
  • MITRE ATT&CK framework
  • Threat intelligence analysis
  • Adversary emulation
  • Security monitoring
  • Incident investigation
  • Machine learning techniques for security

Nice to have

  • Cloud security
  • Identity and access management
  • Endpoint security
  • Network security
  • Application security
  • Automation

What the JD emphasized

  • high-fidelity, scalable detection capabilities
  • modern attacker tradecraft
  • behavioral detections
  • advanced analytics and machine learning techniques

Other signals

  • design and evolution of high-fidelity, scalable detection capabilities
  • detection engineering strategy
  • behavioral detections
  • advanced analytics and machine learning techniques to improve detection fidelity