Cyber Defense Engineer - SIEM

NorthMark Strategies•New York City, NY

23h

About The Position

The Cyber Defense Engineer – SIEM reports to the Director of Cyber Defense and operates within the Office of the CISO. This role is responsible for architecting, developing, and implementing advanced security solutions that enhance cyber defense investigations and incident response capabilities. This position places a strong emphasis on AI-driven security engineering, including the development of intelligent detection systems, automation pipelines, and data-driven defense mechanisms. The ideal candidate will combine deep expertise in the Microsoft security ecosystem with experience leveraging artificial intelligence and machine learning to improve SIEM/SOAR performance, detection fidelity, and operational efficiency. You will collaborate across IT and security teams to design scalable logging, enrichment, and response architectures, while continuously advancing the organization’s AI-enabled SIEM engineering maturity.

Requirements

Bachelor’s degree in computer science, Information Security, or a related field.
4–6+ years of experience in cybersecurity engineering, SOC engineering, or insider threat.
Demonstrated expertise in SIEM engineering and security monitoring at scale.
Experience integrating or developing AI/ML capabilities within security operations or detection engineering.
Strong understanding of the Microsoft security stack (e.g., Sentinel, Defender suite)
Proficiency with automation tooling and scripting languages (KQL, Python, Powershell)
Proficiency in API development with the goal of integrating security tooling
Familiarity with various log ingestion methodologies into a SIEM environment.
Experience in multi-tenant or MSP like environments a plus
Highly motivated self-starter who thrives on positively influencing the environment.
Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Responsibilities

Design, develop, and deploy AI-enhanced detections and automations within the SIEM/SOAR platform to improve signal-to-noise ratio and reduce alert fatigue.
Engineer and optimize SIEM pipelines using AI/ML techniques for anomaly detection, behavioral analytics, and threat correlation.
Integrate SIEM with security tools and data sources to build a context-rich, intelligence-driven monitoring ecosystem.
Develop and implement AI-assisted threat detection models, including user/entity behavior analytics (UEBA) and predictive analytics.
Collaborate with cyber defense operations to identify emerging threats and capability gaps, leveraging AI to proactively strengthen defenses.
Build and maintain automated response orchestration and intelligent playbooks that adapt based on threat context.
Design automation for alert enrichment, triage, and response using both rule-based and AI-assisted decisioning frameworks.
Partner with IT and engineering teams to ensure comprehensive telemetry collection and high-quality data pipelines.
Continuously improve SIEM engineering practices, including data normalization, enrichment strategies, and AI model tuning.
Support SOC operations by enhancing detection engineering, incident response workflows, and operational metrics through AI augmentation.