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Position:Senior security automation engineer
Work location: Remote/ Hybrid/ Bangalore
Notice period: Immediate - 15 days
Mode of Interview: MS Teams
Year of Experience: Minimum 8 years
Job Description:
Role Overview
We are seeking a heavyweight Cortex XSIAM & SOAR Expert to lead our automation initiative. Your primary mission is to transform our SOC from manual triaging to an automated powerhouse. The goal is clear: 80% automation of our existing playbook library. You will be responsible for designing, building, and refining complex workflows that integrate disparate security tools into a cohesive, automated response engine.
Key Responsibilities
Playbook Engineering: Design and implement end-to-end automation playbooks in Cortex XSIAM using both out-of-the-box integrations and custom Python scripts.
Workflow Optimization: Audit existing manual processes and code-ify them to reduce Mean Time to Respond (MTTR) and eliminate analyst fatigue.
Platform Mastery: Manage the XSIAM environment, including data ingestion, XQL (Xalt Query Language) development, and alert tuning.
API Integration: Build custom integrations between XSIAM and third-party tools (EDR, Firewall, IAM, AWS) where native connectors may fall short.
Continuous Improvement: Monitor playbook performance and auto-remediate common false positives to ensure the SOC focuses only on high-fidelity threats.
Experience is integrating Automation scripts and doing regressive testing for low error rates for tasks.
Technical Qualifications-
Expert-level Cortex XSIAM/XSOAR: Proven track record of building complex, multi-stage playbooks (loops, conditional logic, and sub-playbooks).
Advanced Scripting: Proficiency in Python and PowerShell is mandatory for custom task creation.
XQL Proficiency: Ability to write complex queries for data correlation and dashboarding.
Security Context: Deep understanding of the MITRE ATT&CK framework and common incident response lifecycles (Phishing, Malware, Brute Force, etc.)
Integration Experience: Experience working with REST APIs and JSON/XML data structures.
Job ID: 145111473