Senior SIEM Security Consultant

EY; Thiruvananthapuram; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

EY in India seeks an NG SIEM Senior to lead ingestion engineering, detection creation, and integrated case management and correlation workflows. You will partner with threat, cloud, and IR teams to enhance automation, reduce noise, and strengthen the SIEM/SOAR ecosystem.

You will onboard log sources via Cribl and cloud collectors, build parsing and enrichment, create MITRE ATT&CK mapped detections, design correlation logic, refine rules, and manage case lifecycles.

Qualifications

• 36 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.

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 to optimize detection creation and query building.

Skills

SIEM engineering

Fusion Engine

Azure Sentinel

Splunk ES

SOAR playbooks

Cribl Stream

KQL

SPL

CQL

Threat modelling

Ingestion engineering

Tools

CrowdStrike Fusion

Job description

Job 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 SIEMSOAR 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 AIpowered SOAR capabilities, including automated enrichment, clustering of similar alerts, and anomalybased playbook triggers.

Skills & Experience

• 36 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.