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
* 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.
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.