Sr. Detection Engineer
Tasks
- Architect security data pipeline and SIEM platform
- Collaborate with incident response and security teams
- Communicate security concepts and findings
- Define and track detection KPIs
- Develop high-fidelity threat detections
- Establish repeatable detection and automation processes
- Implement Detection-as-Code principles
- Integrate new detection technologies
- Optimize platform performance and scalability
- Support and maintain automated detection systems
- Translate threat intelligence into automated detections
Perks/Benefits
- Health benefits
- Learning and development
- Paid time off
- Parental leave
- Remote work
- Retirement plans
- Stock options
Skills/Tech-stack
AI | APIs | Automation | Bash | CI/CD | Cloud Security | Data Analysis | Data Engineering | Data Pipelines | Data Processing | Detection engineering | Detection rule languages | Detection-as-code | EDR | Go | Incident Response | KQL | MITRE ATT&CK | Machine Learning | Network Traffic | Network Traffic Analysis | Powershell | Python | Rule languages | SIEM | SIEM SOAR | SPL | Security Frameworks | Security Tools | Security data | Security data pipelines | Security telemetry | Sentinel | Splunk | TTPs | Testing | Threat detection | Traffic analysis | Version control | “as-code”
Education
Roles
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