Information Security Engineer, I

Zebra Technologies•Mississauga, ON

58d•$70,000 - $80,000•Hybrid

About The Position

At Zebra, we are a community of innovators who come together to create new ways of working. United by curiosity and a culture of caring, we develop smart solutions that anticipate our customer’s and partner’s needs and solve their challenges. Being a part of Zebra Nation means you are seen, heard, valued, and respected. Drawing from our unique perspectives, we collaborate to deliver on our purpose. Here you are a part of a team pushing boundaries today to redefine the work of tomorrow for organizations, their employees, and those they serve. You'll have opportunities to learn and lead in a forward-thinking environment, defining your path to a fulfilling career while channeling your skills toward causes you care about – locally and globally. Come make an impact every day at Zebra. We are seeking a forward-thinking AI Security Operations Engineer to spearhead the integration and creation of advanced AI capabilities within our 24/7 Security Operations Center (SOC). This role is pivotal in transforming our security posture by embedding agentic AI into our core operational functions. You will be responsible for architecting and implementing AI-driven solutions to enhance our threat detection, response, and intelligence analysis, directly impacting our vulnerability management, threat hunting, and incident response processes.

Requirements

Bachelor's Degree required or equivalent experience
0-2 years of experience
Proven experience in a 24/7 SOC environment with hands-on responsibilities in incident response, threat hunting, or threat intelligence.
Strong practical experience with SOAR platforms (e.g., Palo Alto XSOAR, Splunk SOAR, Microsoft Sentinel) and developing complex automation playbooks.
Demonstrated ability to write and utilize scripts (e.g., Python) for security automation and integration.
Deep understanding of existing security platforms such as SIEM, EDR, and threat intelligence platforms.
Familiarity with the concepts of AI in cybersecurity, including crafting effective prompts for security use cases and understanding the principles of agentic AI workflows.
Good verbal and written communication Skills
Ability to understand end user issues
Technical hands-on experience
Able to work independently and excel in a collaborative environment
Ability to trouble shoot
Demonstrated knowledge of applicable IT systems/applications
Ability to develop new systems and tools
Demonstrated analytical skills
Comfortable performing in a fast-paced, high growth, rapidly changing environment
Ability to identify and implement process improvements

Nice To Haves

Hands-on experience integrating AI, particularly large language models (LLMs), into security tools and workflows.
Direct experience with AI-native security platforms like Microsoft Security Copilot.
Knowledge of API integration for connecting disparate security systems and data sources.
A strong understanding of threat actor methodologies (TTPs) and the MITRE ATT&CK framework.
Certifications related to security operations, automation, or cloud security (e.g., GCIH, GCIA, GDAT).

Responsibilities

AI-Enhanced Incident Response: Design, build, and deploy agentic AI frameworks to accelerate the full incident response lifecycle, from initial detection and triage to containment and eradication.
Develop and refine sophisticated SOAR (Security Orchestration, Automation, and Response) playbooks that leverage AI prompts for dynamic, context-aware decision-making and automated remediation actions.
Integrate AI agents into existing security platforms (SIEM, EDR, XDR) to provide real-time analysis of security events, automated evidence gathering, and recommended response actions for SOC analysts.
AI-Driven Threat Hunting and Intelligence: Create and manage AI-powered systems to proactively hunt for threats by analyzing vast datasets for anomalous patterns, novel attack techniques, and indicators of compromise (IOCs) that evade traditional detection methods.
Develop AI models and prompts to automate the collection, correlation, and analysis of threat intelligence from multiple sources, providing actionable insights tailored to our threat landscape.
Build AI agents capable of contextualizing threat intelligence, predicting potential attack vectors, and recommending proactive defensive adjustments.
Automated Vulnerability Management: Implement AI-driven workflows to automate the identification, prioritization, and remediation of vulnerabilities across the enterprise.
Utilize AI to analyze vulnerability data in conjunction with threat intelligence and asset criticality, creating a dynamic, risk-based prioritization model.
Develop SOAR rules and AI prompts to orchestrate mitigation efforts, reducing the mean time to remediate (MTTR).
AI Capability Development and Integration: Act as the subject matter expert for integrating generative and agentic AI into the SOC's toolset and daily operations.
Collaborate with security analysts to identify and develop custom AI-powered tools and automations that address specific operational challenges and reduce manual effort.
Continuously evaluate and experiment with emerging AI technologies and security platforms to ensure our SOC remains at the cutting edge of security innovation.