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# Cyber Security Engineer II

- **Company:** DP PROFESSIONALS INC
- **Location:** United States
- **Experience:** Expert
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Cyber Security, Information Leak Prevention, Intrusion Detection and Prevention, Python (Programming Language), Machine Learning, Kusto Query Language, Security Information and Event Management, Information Technology
- **Published:** June 5, 2026
- **Apply:** https://www.dice.com/job-detail/b3f69133-b046-46cc-b9ba-df13f323841f

## About the Role

* Experience working with security operations, detection engineering, or incident response processes
 * Hands-on experience using SIEM and SOAR tools for monitoring and response workflows
 * Ability to develop or use automation and scripting (e.g., Python, KQL, SPL) to support security operations
 * Working knowledge of common AI/ML security risks such as prompt injection, data leakage, and over-reliance on AI outputs

Nice to have:

 * Previous experience working in a Security Operations Center (SOC) environment
 * Industry certifications related to artificial intelligence or machine learning, * Small CSOC team (about 13 people) split between analysts and engineers, working closely together on day-to-day security operations.
 * Currently focused on integrating a new SIEM and rolling out AI-related security capabilities across the environment.
 * Hours: 8AM - 5PM - M-F. Possible, but likely rare: overtime, travel, weekends, off hours.

Minimum required work experience:

 * 6 years of job-related technical experience.

Required education/equivalencies:

 * Bachelor's degree in Computer Science, Information Technology, or other job-related degree;
 * OR, Associates degree in CS, IT, or other job-related degree plus 2 years of work-related experience;
 * OR, 4 years job-related work experience (total 10 years without a degree)

## Description

* Publishes and maintains an AI threat detection catalog using available telemetry data
 * Deploys prioritized detection rules and performs regular tuning on a set schedule
 * Reduces repeat false positive alerts through tuning and adjustment of detection logic
 * Improves alert triage and escalation times for AI-related security events
 * Uses enrichment to support more efficient alert review and handling
 * Establishes baseline monitoring for approved AI tools
 * Sets and monitors thresholds to identify abnormal AI tool usage
 * Tracks and identifies risky AI usage patterns
 * Supports remediation of identified AI-related risks
 * Produces recurring reports on AI usage and associated risks
 * Develops and documents AI-focused incident response runbooks
 * Participates in tabletop exercises to test and validate response procedures
 * Updates runbooks and detection rules based on lessons learned from exercises
 * Works with cross-functional teams including leadership, architects, and senior technical staff
 * Communicates findings and updates clearly to both technical and non-technical audiences


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