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Mid-level role at a known employer but niche security automation skills constrain the applicant pool.
High because specialized SecOps, SOAR, and SIEM experience is strongly domain-specific for security roles.
High due to explicit 5+ years and mandatory SOAR, SIEM, scripting, and cloud security requirements.
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Design, build, and maintain automation pipelines and tooling for AI-driven security detections, investigations, and responses.
Develop and operate SOAR playbooks and AI workflows to automate security alert triage, enrichment, and response with minimal human intervention.
Build and maintain integrations between security tools and AI inference services, ensuring observability, reliability, and validation of automation in production.
5+ years of experience in security engineering, SecOps, or automation roles.
Proficiency in Python and/or Go for scripting and tooling.
Hands-on experience with SOAR platforms (e.g., Splunk SOAR, Palo Alto XSOAR), SIEM platforms (e.g., Splunk, Microsoft Sentinel), REST API integration, and event-driven architecture.
Basic knowledge of threat detection frameworks (MITRE ATT&CK, kill chain), familiarity with LLM/AI APIs, version control (Git), CI/CD practices, and cloud security fundamentals (AWS, Azure, or GCP).
Experienced in transforming manual security operations into automated, reliable, and testable workflows leveraging AI systems.
Comfortable collaborating cross-functionally with AI/ML engineers, DevSecOps, and IT teams to embed security automation into large-scale infrastructure environments.
Able to implement and tune detection logic and AI model outputs into actionable, low-noise alerts that improve over time.