SOC Detection Engineer - Cloud and AI Automation
Tasks
- Analyze detection metrics and coverage gaps
- Automate alert enrichment and evidence collection
- Build SOAR response playbooks
- Build and tune anomaly detection models
- Build detection as code
- Collaborate with threat intelligence incident response and threat hunting
- Design cloud security detections
- Design detection rules and logic
- Detect cloud misconfigurations and identity compromise
- Implement detection deployment pipelines CI CD
- Integrate AI and ML for threat detection
- Integrate LLMs for alert triage
- Integrate security tools via APIs
- Maintain detection documentation and runbooks
- Map detections to MITRE ATT&CK
- Monitor Kubernetes and container threats
- Monitor cloud logs and security services
- Optimize AI model performance
- Perform detection testing and validation
- Translate threat intelligence into detections
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | AWS GuardDuty | Activity logs | Adversary Emulation | Alert enrichment | Anomaly Detection | Audit Logs | Azure Activity Logs | Azure Security | Azure Security Command Center | Azure Sentinel | Bash | Behavioral analytics | CI/CD | CSPM | Chronicle | CloudTrail | Command Center | CrowdStrike | Data correlation | Defender for Cloud | Detection-as-code | EDR | Evidence collection | GCP Audit Logs | GCP audit | Git | Kubernetes | LLM Triage | Language Models | Large Language Models | Log Analysis | MITRE ATT&CK | Machine Learning | Microsoft Defender | Microsoft Defender for Cloud | Powershell | Purple Team | Purple Team exercises | Python | SIEM | SOAR | Security Command Center | Splunk | Team exercises | Threat modeling | “as-code”
Roles
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