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Specialized security automation skills but mid-level requirement and metro location create moderate competition.
Role requires security-specific tooling and detection experience, making skills less transferable across industries.
Explicit 5+ years plus mandatory SOAR, SIEM, Python/Go and cloud skills increase filter strictness.
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Design, build, and maintain automation pipelines and SOAR playbooks enabling AI-driven security alert triage and response with minimal human intervention.
Translate detection logic and AI model outputs into actionable security alerts, tuning thresholds and automating feedback loops to improve alert quality.
Develop integrations between security tools (SIEM, EDR, TIP, identity platforms) and AI inference services using APIs and orchestration frameworks, ensuring observability and reliability of automation pipelines.
5+ years in security engineering, SecOps, or automation roles.
Proficiency in Python and/or Go scripting for tooling and automation.
Hands-on experience with SOAR platforms (e.g., Splunk SOAR, Palo Alto XSOAR, Tines) and SIEM platforms (e.g., Splunk, Microsoft Sentinel, Google Chronicle).
Experience with REST API integration, event-driven architectures, cloud security fundamentals (AWS, Azure, or GCP), and version control/CI-CD practices (Git, GitHub Actions).
Strong background combining security engineering with AI/ML-driven security automation and response.
Experience working cross-functionally with AI/ML, DevSecOps, and IT teams to embed security automation into infrastructure workflows.
Familiarity with threat detection frameworks (MITRE ATT&CK), automation testing (purple-team exercises), and maintaining reliable, observable AI-powered security operations.