We are looking for a hybrid expert in cybersecurity operations and AI engineering to lead the development, customization, and operationalization of AI-powered SOC automation systems.

This role will bridge the gap between frontline SOC operations and backend AI/ML capabilities driving intelligent alert triage, threat detection, and incident response automation through tools like Intezer, Cortex XSOAR, and custom AI pipelines.

You will play a key role in both defending the organization and building the intelligent systems that scale our defenses.

SOC & Threat Detection (Analyst Responsibilities):

Monitor and triage security alerts using AI-assisted tooling.
Analyze, investigate, and escalate incidents using threat intel and log data.
Provide threat context, root cause analysis, and response recommendations.
Fine-tune detection rules, behavioral baselines, and IOC correlations.
Serve as SME for SOC use cases and automation requirements.

AI Engineering & Automation:

Design and maintain ML models for anomaly detection, classification, and triage.
Build automation workflows using SOAR platforms (e.g., Cortex XSOAR).
Integrate AI models with SIEM, EDR, TIP, and other SOC data sources.
Develop feedback loops based on SOC analyst input and incident data.
Reduce false positives/negatives through intelligent alert enrichment.

Collaboration & Strategy:

Collaborate with threat intel, IR
Drive innovation in SOC tooling through automation and AI.
Maintain documentation, model explainability, and audit readiness.
Stay ahead of adversarial threats and AI misuse in cyber contexts.

Qualifications

Must-Have:

3+ years in a SOC Analyst, Incident Responder, or Threat Hunter role.
2+ years developing or applying AI/ML in a cybersecurity or security automation c

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Senior SOC Analyst (AI Analyst & Automation Engineer)