Position Details
About this role
Join Amazon Stores Security’s Threat Detection team to research emerging threats and build high-confidence detections that identify malicious activity across large-scale log data. You will collaborate with Incident Response, Threat Hunting, Threat Intelligence, and Red Team, and you will use automation and ML/Generative AI methods to improve detection capabilities and reduce false positives.
Key Responsibilities
- Develop high-fidelity threat detections aligned to TTPs
- Enhance detection engineering lifecycle and processes
- Enrich alerts with contextual data and reduce false positives
- Research and advance detection capabilities using machine learning or generative AI
- Automate detection tooling and operational workflows using Python
Technical Overview
This role is primarily detection engineering: building and tuning threat detections aligned to attacker tactics, techniques, and procedures (TTPs), enriching alerts with contextual data, and automating remediation and response workflows. You will also prototype and deploy detection improvements using machine learning, advanced data correlation, risk-based alerting, and generative AI, implemented with Python-based tooling at scale.
Ideal Candidate
The ideal candidate is a Security Engineer focused on threat detection engineering at scale, with hands-on experience developing high-fidelity detections over large-scale log data. They partner closely with Incident Response, Threat Hunting, Threat Intelligence, and Red Team, and they use Python to automate detection development, testing, alert enrichment, and remediation workflows using machine learning and generative AI techniques.
Must-Have Skills
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Must have hands-on experience developing threat detections for large-scale log data, Must have experience using Python or other scripting languages for automation
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