Related skills
sql python ai iot llms📋 Description
- Vulnerability & threat research: analyze CVEs, misconfigurations, and attack vectors across Cloud, On-prem, and IoT/OT.
- Remediation engineering: prototype mitigation strategies beyond patching.
- Data-driven prioritization: build Python/SQL scoring models linking asset criticality with exploit data.
- AI automation: use LLMs and AI tools to parse advisories and map vulnerabilities to assets.
🎯 Requirements
- Experience: At least 3 years in security research, vulnerability analysis, or penetration testing.
- Technical proficiency: Python scripting for data automation; SQL for complex queries.
- Security fundamentals: CVSS, EPSS, MITRE ATT&CK, and exploitation techniques.
- Network expertise: knowledge of protocols and device traffic to identify vulnerabilities.
- Project leadership: leading independent research projects from problem to POV.
🎁 Benefits
- Competitive compensation and benefits.
- Growth opportunities and career development.
- Supportive, diverse, inclusive workplace.
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