Cybersecurity Engineer

Intraedge is seeking a seasoned Cybersecurity Engineer on behalf of its financial domain client to support advanced threat detection, data-driven defense, and automation within a cloud-first, consumer-centric environment. This role will lead the development and implementation of intelligent security solutions using SIEM, SOAR, and machine learning to enhance detection, response, and operational efficiency across the enterprise., * Design, implement, and manage enterprise SIEM (Splunk) solutions for centralized log analysis and real-time event monitoring.

• Develop and fine-tune correlation rules, alerts, dashboards, and use cases to detect anomalous and malicious activity.
• Lead data ingestion and normalization from varied enterprise systems (e.g., cloud workloads, endpoints, network devices).
• Develop and maintain SOAR playbooks to automate incident detection, triage, response, and recovery.
• Optimize SOAR workflows and integrations with security infrastructure to reduce MTTD/MTTR.
• Build and apply machine learning models to identify security anomalies, enrich event context, and predict threats.
• Collaborate with Security Operations Center (SOC), DevOps, IT, and business units to align security automation with business goals.
• Analyze incident data to uncover trends and provide recommendations for improving controls and detection.
• Maintain detailed documentation for playbooks, integrations, automation processes, and incident response protocols.
• Stay abreast of industry trends and emerging tools to continually advance detection and automation strategies.
• Mentor junior engineers and assist in promoting SOAR and SIEM best practices across the team., * Help build the next generation of cybersecurity automation for a major financial institution.
• Work with cutting-edge security architecture in a cloud-first, data-driven environment.
• Contribute to industry-leading practices in SOAR, ML-driven detection, and incident response automation.

• 6+ years of experience in cybersecurity engineering, including SIEM (Splunk), SOAR, and machine learning-based threat detection.
• 3+ years of experience in security automation using platforms such as Splunk SOAR, XSOAR, Swimlane, or similar.
• 3+ years in cyber data engineering or analytics: log processing, enrichment, and telemetry pipelines.
• Expertise in scripting languages like Python and PowerShell, and using REST APIs for integrations.
• Proven experience designing and deploying security automation workflows in enterprise environments.
• Bachelor’s degree in Computer Science, Information Security, Engineering, or related field-or equivalent experience.
• Ability to troubleshoot complex security issues and integrate with diverse platforms.

• Strong communication and collaboration skills to work with technical and non-technical stakeholders. Preferred Qualifications

• Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Familiarity with cloud-native security tooling, telemetry pipelines, and serverless security design patterns.
• Experience working within Agile environments and cross-functional DevSecOps teams.
• Knowledge of change management processes, compliance frameworks (e.g., NIST, ISO), and regulatory constraints in financial services.