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Mid-level, metro Bangalore role with broad security automation and AI skills, increasing candidate competition.
Requires specific SecOps, SOAR, and SIEM expertise, limiting cross-industry transferability.
Multiple mandatory requirements: 5+ years, SOAR, SIEM, Python/Go, cloud security.
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Design, build, and maintain automation pipelines and tooling for AI-driven security detection, investigation, and response workflows.
Operate and develop SOAR playbooks and AI workflows to triage, enrich, and respond to security alerts with minimal human intervention.
Integrate security tools and AI inference services, ensuring observability, reliability, and validation of automated security responses.
5+ years experience in security engineering, SecOps, or automation roles.
Proficiency in Python and/or Go scripting; hands-on SOAR experience (e.g., Splunk SOAR, Palo Alto XSOAR).
Experience working with SIEM platforms (Splunk, Microsoft Sentinel, or Google Chronicle) and REST API integrations.
Understanding of threat detection frameworks (MITRE ATT&CK), cloud security fundamentals (AWS, Azure, or GCP), and version control/CI/CD practices.
Experienced in security automation at the intersection of security engineering and AI/ML systems with hands-on SOAR and AI workflow development.
Comfortable collaborating cross-functionally with AI/ML, DevSecOps, and IT teams to embed automation into security operations.
Skilled in building reliable, observable, and testable automated security workflows and maintaining complex integration pipelines.