Related skills
analytics saas siem xdrπ 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.
π― Requirements
- 5β8+ 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.
π 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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