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Cybersecurity Threat Detection – Automation Manager
Job Description:
- Lead, manage, mentor, and develop a team of detection engineering and automation professionals
- Define and execute threat detection and automation strategy aligned with business risk, threats, compliance, and organizational priorities
- Establish intake, prioritization, backlog management, planning, peer review, release readiness, metrics, and continuous improvement processes
- Design, develop, tune, and optimize threat detections across SIEM, EDR, identity, cloud, email, network, OT, SaaS, and other security platforms
- Own high-impact detections for complex use cases, critical risks, advanced adversary behaviors, and enterprise threats
- Translate adversary behavior, threat intelligence, incident findings, red team results, vulnerability exposure, and business risk into actionable analytics
- Conduct detection gap analysis and threat modeling
- Build detection validation practices with test cases, replay or verification methods, regression checks, tuning evidence, performance monitoring, and analyst feedback
- Lead SIEM and SOAR detection and response workflows
- Build SIEM content including correlation rules, notable events, dashboards, risk-based alerts, data models, investigation views, and alert enrichment
- Develop SOAR playbooks for enrichment, triage, evidence collection, case creation, containment recommendations, response actions, and analyst decision support
- Identify and automate repetitive, high-volume, or high-value SOC activities
- Drive integrations across SIEM, SOAR, EDR, email security, identity, threat intelligence, ITSM, cloud, network, PAM, DLP/CASB, and OT platforms
- Build and mature the detection and automation lifecycle from intake through retirement
- Manage the detection and automation roadmap and program metrics
- Resolve telemetry gaps, data quality issues, logging deficiencies, enrichment needs, and unclear ownership
- Maintain audit-ready documentation and communicate strategy, risk coverage, maturity, roadmap, and outcomes to technical, non-technical, and executive stakeholders
Requirements:
- 10+ years of cybersecurity experience working in SOC and in creating SIEM correlations/detections and automating incident information enrichment tasks
- Experience building mature detection lifecycle practices, including intake, prioritization, testing, tuning, monitoring, regression checks, peer review, and controlled releases
- Experience building SOAR playbooks and automation workflows
- Experience with detection-as-code, Git-based content management, CI/CD pipelines, automated testing, reusable detection templates, and scalable engineering patterns
- Experience operationalizing threat intelligence into detection priorities, hunting queries, enrichment workflows, and response playbooks
- Experience designing detections for identity-based attacks, endpoint, email, network, cloud, SaaS, OT/ICS, DLP, and privileged access use cases
- Experience working in large, complex enterprise or manufacturing environments
- Experience partnering with SOC, Incident Response, Threat Intelligence, Vulnerability Management, Cloud, Identity, Network, OT, Legal, Privacy, GRC, and IT teams
- Ability to distinguish detection, telemetry, control, ownership, and response process gaps
- Excellent analytical and problem-solving skills
- Demonstrated ability to lead, coach, and advise team members across cultural, geographic, technical, and generational boundaries
- Passion for automation, continuous improvement, high-quality engineering practices, and scalable security systems
- Technical competency with Splunk SPL, risk-based alerting, notable events, dashboards, correlation searches, SOAR, MITRE ATT&CK, Entra ID, EDR, CNAPP, DNS, proxy, firewall, VPN, GlobalProtect, OT/ICS, PAM, CyberArk-style telemetry, ITSM, Git, and CI/CD
- Master’s degree is listed as preferred, not required
Benefits:
