





Niche SOAR and security automation skillset reduces applicant density.
Security-specific tooling and SOAR expertise limit transferability across non-security roles.
Multiple mandatory requirements: 5+ years, SOAR/SIEM, scripting, cloud security, and CI/CD experience.
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Design, build, and maintain AI-driven security automation pipelines and SOAR playbooks to enable rapid, reliable security alert triage and response.
Translate detection logic and AI model outputs into actionable alerts, tuning thresholds and automating feedback loops to improve detection signal quality.
Develop integrations between security tools and AI inference services; implement observability with metrics, logging, and alerts; and test automation workflows through simulations and exercises.
5+ years of experience in security engineering, SecOps, or automation roles.
Proficiency in Python and/or Go scripting; hands-on experience with SOAR platforms such as Splunk SOAR or Palo Alto XSOAR.
Experience with SIEM platforms (e.g., Splunk, Microsoft Sentinel) and integration via REST APIs and event-driven architectures.
Understanding of threat detection logic frameworks (MITRE ATT&CK, kill chain) and familiarity with AI/LLM APIs and prompt-driven automation workflows.
Experienced security engineer with deep knowledge of automating security operations in fast-paced environments involving AI-augmented detection and response.
Comfortable collaborating across AI/ML, DevSecOps, and IT teams to embed security automation into infrastructure and change management.
Practitioner skilled in end-to-end development and testing of automation pipelines with strong focus on signal quality, observability, and adversarial validation exercises.