Cybersecurity Automation Engineer

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., * 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., * 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.

• 6+ 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.