Overview
Remote
Depends on Experience
Full Time
Skills
Splunk
SIEM
SOAR
ML
GitLab
ETL Tools
AI/ML
automated data pipelines
XSOAR
Swimlane
Python
PowerShell
Job Details
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 Google Cloud Platform.
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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.