Cyber Defense Monitoring Engineer – Automation & AI
CME Group (company site, opens in a new tab)5+ yrsBengaluruOn-siteDirect career pageEst. 28–45 LPA
Posted on 28 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead transition to an AI-driven, autonomous Security Operations Center by designing and deploying AI agents for triage, context gathering, and initial containment.
- Develop, maintain, and architect complex automation playbooks using Python, REST APIs, and SOAR platforms to optimize incident response and reduce detection and response times.
- Act as senior escalation point for complex threats, execute threat hunts, oversee security tool health, and integrate LLMs and data science techniques into monitoring and detection workflows.
Minimum Requirements
- 5+ years progressive experience in SOC or Incident Response with deep technical knowledge of network protocols, OS internals (Windows/Linux), and adversary tactics (MITRE ATT&CK).
- Advanced programming skills in Python, Go, or PowerShell and experience with RESTful APIs, JSON/XML.
- Hands-on experience architecting workflows in SOAR platforms like Cortex XSOAR, Splunk SOAR, Torq, or Tines.
- Bachelor's degree in Engineering, Computer Science, Information Security, or equivalent experience; certifications in security or automation are relevant.
Ideal Candidate Profile
- Experienced cybersecurity professional with a strong engineering mindset blending security operations with automation and AI capabilities.
- Skilled in AI/ML application including working with Large Language Models, prompt engineering, and data science tools to enhance SOC effectiveness.
- Proven ability to lead advanced threat escalation and develop autonomous workflows within a high-complexity enterprise SOC environment.