Added
12 days ago
Type
Full time
Salary
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Related skills

analytics saas siem xdr

πŸ“‹ Description

  • Design and develop detection logic and security rules for SaaS apps.
  • Research SaaS platforms (e.g., Google Workspace, Microsoft 365) to map security models.
  • Translate attack techniques into scalable detections, checks, and risk signals.
  • Contribute to threat detection and posture content across identity and data exposure.
  • Analyze large-scale SaaS telemetry to spot patterns and anomalies.
  • Reduce false positives and ensure signals are actionable for customers.

🎯 Requirements

  • 5–8+ years in cybersecurity with hands-on detection engineering or threat research.
  • Strong understanding of SaaS security concepts: IAM, OAuth, third-party risks, misconfigurations.
  • Experience working with security telemetry and logs; able to query and analyze large datasets (SQL, Python).
  • Experience developing or tuning detection logic in SIEM or XDR systems.
  • Familiarity with SaaS APIs and security-relevant data sources.
  • Understanding attacker techniques in SaaS, including identity attacks, privilege escalation.

🎁 Benefits

  • Stock options to share in company growth.
  • Generous PTO, holidays, parental leave, health insurance (medical, dental, vision with HSA).
  • Employee Assistance Program (EAP).
  • Company-provided life insurance, AD&D, STD/LTD, and supplemental life options.
  • 401(k) with Roth and monthly wellness benefit reimbursement.
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