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Mid-level Pune role with moderate brand and niche SOAR/SIEM requirements.
Strong SecOps and SOAR emphasis makes skills industry-specific and less transferable.
Explicit 5+ years plus mandatory SOAR, SIEM, Python/Go, and cloud security.
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Design, build, and maintain automation pipelines and tooling to enable AI-driven security alert detection, investigation, and response at machine speed.
Operate and improve SOAR playbooks and AI workflows to automate triage, enrichment, and incident response with minimal human intervention.
Develop and maintain integrations between security tools (SIEM, EDR, TIP, identity platforms) and AI inference services, ensuring observability, reliability, and testability of automated workflows.
5+ years 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, Tines) and SIEM platforms (e.g., Splunk, Microsoft Sentinel, Google Chronicle).
Experience with REST API integration, event-driven architectures, version control & CI/CD (Git, GitHub Actions), and cloud security fundamentals (AWS, Azure, or GCP).
Experienced in translating threat detection logic and AI/ML model outputs into low-noise, actionable security alerts, with a strong understanding of frameworks like MITRE ATT&CK.
Comfortable working cross-functionally with AI/ML, DevSecOps, and IT teams to embed security automation within infrastructure workflows.
Skilled in automation testing, validation under adversarial conditions, and maintaining high observability and reliability standards in security automation systems.