DART Engineer

Please share CV to monica_sharma@hcl-software.com with the below details:

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SOC Detection and Automation Engineer

Experience required- 6 to 10 years

Overview

Responsible for enhancing our security posture by developing, implementing, and maintaining detection content within the SIEM. A key focus of this position will be leveraging our SIEMs automation and AI capabilities to streamline level 1 security incident triage and response, thereby increasing the efficiency and effectiveness of our Security Operations Center (SOC).

Mandatory Skills- Detection Engineering, Detection Rule/Use Case Development, SIEM/SOAR, MITRE ATTACK, Threat Hunting, Python/PowerShell, SOAR Playbooks, Automation, API Integrations, Rule Tuning & False Positive Reduction, EDR/XDR, Forensic Investigation, SIEM Data Ingestion/Parsing, Cloud Security Monitoring, Threat Intelligence etc

Responsibilities--We are seeking a highly skilled and motivated SOC Engineer to join our security operations team. This critical role will be responsible for:

Detection Engineering and Content Development

• Design, develop, test, and deploy high-fidelity detection rules, correlational logic, and behavioral models within SIEM.
• Translate threat intelligence, known vulnerabilities, and observed attack techniques (e.g., MITRE ATT&CK framework) into actionable detection content.
• Continuously review and tune existing detection content to minimize false positives while maximizing coverage of emerging threats.
• Ensure all detection content is mapped to relevant security controls and incident response playbooks.

Automation and Efficiency

• Develop, implement, and maintain automation playbooks (using our SIEMs automation engine) to automate repetitive Level 1 incident triage tasks, data enrichment, and initial response actions.
• Integrate SIEM with other security tools and enterprise platforms via APIs and connectors to facilitate seamless data flow and automated response.
• Explore and apply SIEMs built-in AI/ML capabilities to improve alert prioritization, anomaly detection, and automated incident clustering.
• Document automation logic, workflows, and effectiveness metrics.

Platform Management and Optimization

• Act as a subject matter expert for the SIEM, including data ingestion, logging policies, and platform health.
• Collaborate with Security Architecture and IT teams to onboard new data sources into SIEM, ensuring proper normalization and parsing for detection use cases.
• Monitor platform performance, troubleshoot content execution issues, and assist in maintaining the overall operational stability of the SIEM environment.

Collaboration and Improvement

• Work closely with SOC Analysts, Threat Hunters, and Incident Responders to understand their needs and develop content that directly supports their operations.
• Participate in post-incident review processes to identify detection and automation gaps and drive improvements.
• Stay current with the latest cybersecurity trends, attack vectors, and SIEM features and updates.

Qualifications

Required Skills and Experience

• 3+ years of experience in Security Operations, Threat Hunting, or Detection Engineering.
• Demonstrable expertise in designing and implementing detection content using a SIEM/SOAR platform (strong preference for Palo Alto Networks XSIAM/Cortex XSOAR experience).
• Deep understanding of the cyber kill chain and MITRE ATT&CK framework.
• Proficiency in scripting languages (e.g., Python, PowerShell) for automation and data manipulation.
• Strong knowledge of security logging formats, network protocols, operating systems (Windows, Linux), and cloud environments.
• Experience with API integrations and developing automation playbooks (SOAR).
• Excellent analytical, problem-solving, and communication skills.

Preferred Qualifications

• Hands-on experience with Palo Alto Networks XSIAM, including content creation and automation development.
• Relevant industry certifications (e.g., PCNSE, PCSAE, GCIH, GCFA, CISSP).
• Experience with cloud security monitoring (AWS, Azure, GCP).
• Familiarity with threat intelligence platforms and integrating intelligence feeds into detection logic.