Cybersecurity Automation Engineer

Job Description

About the Role Intraedge is seeking an experienced Cybersecurity Automation Engineer for its financial domain client . This role is focused on cyber data analytics and automation , playing a pivotal part in protecting enterprise data, infrastructure, and customer trust in a cloud-first , consumer-centric operating model.The ideal candidate will bring deep technical expertise in automation, SIEM / SOAR, data pipelines, and AI / ML integration , working cross-functionally with IT Architecture, Engineering, DevOps, Security Operations, and business leadership. Key Responsibilities

• Lead the design and implementation of modern cybersecurity architectures , automation tools, and scalable analytics solutions.
• Develop, deploy, and maintain automation strategies to streamline security operations and response workflows.
• Build advanced Splunk dashboards, queries, and visualizations to support threat detection and forensic investigations.
• Lead implementation and optimization of SIEM platforms (e.g., Splunk) to enhance threat detection and alert fidelity.
• Build and maintain SOAR playbooks to automate incident response actions and remediation processes.
• Continuously improve and expand SOAR integrations across security and IT tools.
• Design, train, and deploy AI / ML models for threat prediction, anomaly detection, and behavioral analytics.
• Integrate ML insights into SIEM / SOAR pipelines to augment analyst decision-making.
• Design, build, and maintain scalable ETL pipelines for security data ingestion, enrichment, and retention.
• Ensure data integrity, quality, and consistency across diverse data sources and pipelines.
• Optimize data workflows for performance, reliability, and scalability in cloud and hybrid environments.
• Lead in-depth analysis of complex incidents , correlating logs and threat intelligence to determine root cause and impact.
• Stay informed of emerging cybersecurity technologies, automation tools, and threat trends to drive innovation. Required Qualifications
• 4 + years of experience in cybersecurity engineering , with deep expertise in Splunk, SIEM, SOAR, ML , and automated data pipelines .
• 3+ years of experience with security automation platforms (SOAR) such as Splunk SOAR, XSOAR, Swimlane , etc.
• 3+ years of experience in cyber data engineering or analytics , including log processing and data pipeline architecture.
• Strong proficiency in Python, PowerShell , and API integrations .
• Proven experience with GitLab , automation platform deployment, and pipeline troubleshooting.
• Hands-on experience with ETL tools , relational and columnar databases , and data visualization tools such as Power BI .
• Solid understanding of SIEM design, normalization, and correlation strategies.
• Excellent debugging, problem-solving, and communication skills.
• Bachelor's degree in Computer Science , Engineering , Cybersecurity , or equivalent technical field (or 10+ years of experience). Preferred Qualifications
• Hands-on experience with cloud environments such as AWS , Azure , or GCP .
• Strong knowledge of cloud-native security technologies , serverless architecture, and containerized data flows.
• Cybersecurity certifications such as CISSP , CISM , CISA , or equivalent.
• Experience working in Agile or DevSecOps environments with CI / CD pipelines.
• Familiarity with corporate change management practices and IT governance frameworks. Why Join This Engagement?
• Contribute to a high-visibility cybersecurity automation program for a major financial services institution.
• Work on cutting-edge security use cases , including AI / ML-driven detection and real-time response automation .
• Collaborate with enterprise security and cloud leaders to deliver resilient and intelligent cyber defense capabilities. Job Requirements