TC-CS-CDR-NG SIEM-Senior

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NGSIEM JD details for Senior Senior Role Summary The NG SIEM Senior role leads ingestion engineering, detection creation, and integrated case management and correlation workflows. This role partners with threat, cloud, and IR teams to enhance automation, reduce noise, and strengthen the SIEM–SOAR ecosystem.

Key Responsibilities

• Lead onboarding of strategic log sources via Cribl, cloud collectors, API pipelines.
• Build and optimize parsing, normalization, and enrichment logic.
• Create advanced detections mapped to MITRE ATT&CK using SPL/KQL/CQL/CQL-Advanced.
• Design and optimize correlation logic using Fusion/ML-based engines.
• Lead tuning and noise-reduction activities for Fusion correlation rules.
• Oversee case lifecycle management: triage workflows, enrichments, severity logic, and SLA tracking.
• Develop and maintain SOAR playbooks for automated enrichment, notifications, containment tasks.
• Integrate external systems (EDR, IAM, Email, Firewall) into SOAR workflows.
• Conduct root-cause analysis for ingestion and correlation gaps.
• Collaborate with Threat Intel and Detection teams for new use cases.
• Leverage AI assistants like Charlotte AI and Sentinel Copilot to optimize detection creation, accelerate query building, and reduce investigation time.
• Integrate Microsoft Sentinel with Copilot to enable AI-driven incident summarization, RCA assistance, KQL generation, and automated SOC workflows.
• Evaluate and implement AI‑powered SOAR capabilities, including automated enrichment, clustering of similar alerts, and anomaly‑based playbook triggers.

Skills & Experience

• 3–6 years in SIEM engineering or SOC detection.
• Strong hands-on experience with Fusion Correlation Engine (CrowdStrike), Azure Sentinel Analytics, or Splunk ES Correlation Searches.
• Experience creating/maintaining SOAR playbooks (Fusion workflows, Sentinel Logic Apps, Splunk SOAR).
• Deep knowledge of case management workflows and alert lifecycle governance.
• Strong in ingestion engineering using Cribl Stream & Lake.
• Expertise in SPL, KQL, CQL query languages.
• Understanding of data models, schemas, threat modelling.

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