Lead Cybersecurity Detection Engineer
Agent
Ai Security
Analytics
Cloud Platforms
Cyber Security
Cybersecurity Tools
Data Platform
Data Processing
Data Security
Digital Marketing
Endpoint Security
Incident Management
Incident Response
Information Security
Information Technology (IT)
InfoSec
Log Management
Mitre Frameworks
Risk Management
Security
Security Automation
Security Detection Engineering
Security Information And Event Management
Security Monitoring
Security Operations
Security Threat Detection
SOAR
Solution Architecture
Splunk
Splunk Siem
Threat Intelligence
Job Description
Lead Cox Automotive’s Detection Engineering efforts by designing, building, and continuously improving enterprise and customer security detections, including AI-driven capabilities.
Responsibilities
- Act as a senior technical lead for detection engineering, creating and maintaining detective solutions that protect Cox Automotive internal systems and domestic and international businesses
- Support execution of the Detection Engineering strategy, roadmap, and objectives
- Architect and deploy agentic AI systems to autonomously detect, analyze, and respond to security threats across enterprise infrastructure
- Design multi-agent frameworks for threat hunting, incident investigation, and attack pattern recognition
- Build self-improving detection systems that learn from investigations and enhance detection rules and playbooks automatically
- Design and implement advanced threat detection techniques using SIEM, EDR, and SOAR platforms
- Develop custom detection rules, automated remediation playbooks, and alerts aligned to Cox Automotive’s enterprise and customer threat landscape
- Use MITRE/ATLAS frameworks to assess detection coverage and identify and close gaps
- Continuously monitor, optimize, and improve detection systems for performance, scalability, and effectiveness
- Partner with the Threat Detection and Response team to improve identification, management, and response capabilities efficiently and effectively
- Validate detection use cases through attack simulation testing
- Collaborate with Vulnerability Management to conduct purple teaming exercises
- In collaboration with Cyber Defense Engineering, manage and maintain SIEM/Data Lake data management and log ingestion infrastructure
- Evaluate, validate, tune, and sunset detections as needed
- Maintain operational guidelines, diagrams, and documentation for security detection and response
- Provide off-hour support when required for security administration, detection, and response activities
- Work with Incident Response to enable rapid detection and containment
- Build threat detection logic during incident response to accelerate threat identification and containment
- Improve detection and response processes based on lessons learned from incidents
- Leverage threat intelligence to strengthen detection capabilities and proactively mitigate risks
- Identify and analyze new and emerging threat vectors and integrate them into detection strategies
- Coordinate with Cybersecurity, Engineering, and Product teams to ensure successful deployment of detection and response solutions
- Collaborate with Product teams to design and implement customer-focused detection and response solutions
- Communicate detection capabilities, findings, and technical recommendations to technical and non-technical stakeholders, escalating to leadership as needed
- Design and implement processes that align with regulatory requirements and industry standards (e.g., GDPR, PCI-DSS, NIST)
- Document detection use cases, processes, and configurations
Requirements
- Bachelor’s degree in Computer Science or related discipline plus 6+ years of industry related professional experience
- Multi-cloud security experience with AWS, Azure, and GCP
- Experience with AI/ML frameworks and prompt engineering for security applications
- Expert level knowledge of Detection Engineering
- Strong experience in information security, network security, security monitoring, and Incident Response
- Strong experience developing SIEM/SOAR detection and automation use cases
- Working knowledge of security technologies and services including threat intelligence, firewalls, SASE, IPS, endpoint security, DLP, SIEM/SOAR, and Data Lakes
- Expert level knowledge of the attack kill chain and diamond model
- 3+ years experience in a cyber defense role
Technologies
- SIEM, EDR, SOAR
- AI/ML, prompt engineering
- MITRE, ATLAS, MITRE/ATLAS frameworks
- AWS, Azure, GCP
- Threat intelligence, firewalls, SASE, IPS
- Endpoint security, DLP, Data Lakes
Benefits
- Health care insurance (medical, dental, vision)
- Retirement planning (401(k))
- Paid days off (sick leave, parental leave, flexible vacation/wellness days, and/or PTO)
Preferred Qualifications
- OSCP, GSEC, GCIA, GFE, GCFA, CISA, CISSP, CISM, or CIA certification(s)
- Dev Ops / Engineering / Network / System Administration experience
- Experience developing customer-focused detection and response systems