Permian Resources

Permian Resources

Lead Cybersecurity Engineer

Midland, Texas

Sponsorship not specifiedDetected 21 hours ago
PythonPowerShellAWSGCPAzureCybersecuritySIEMSOC OperationsDetection EngineeringIncident ResponseControlsFirewallLeadershipCommunicationMentoringSCADACISSP

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odds of building a lasting career here

37Risky
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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About the role

  • The ideal candidate combines deep technical expertise with the leadership to guide a multi-disciplinary team in a fast-paced environment.

Requirements

  • Bachelor's degree in Computer Science, Information Technology, Cybersecurity, or a related field.
  • 8+ years of experience in cybersecurity engineering or a related role, including demonstrated experience as a technical lead.
  • Deep, hands-on expertise across multiple domains (security engineering, IAM, vulnerability management, and security operations) with strong working knowledge of all four.
  • Strong understanding of threat analysis, mitigation techniques, and incident response.
  • Familiarity with industry standards such as NIST CSF.

Nice to have

  • We celebrate diversity and are committed to creating an inclusive environment for all employees.

Skills

  • Proficiency with scripting and automation (e.g., PowerShell, Python) and automation-first engineering practices.
  • Excellent leadership, communication, and stakeholder-management skills.
  • Related cybersecurity work experience in OT/Industrial Control Systems (SCADA) environments.
  • Senior certifications such as CISSP, CISM, GIAC, Microsoft SC-series, or equivalent experience.
  • Permian Resource is an equal opportunity employer.
  • Guide detection engineering and threat hunting, and incorporate threat intelligence into defensive controls.
  • Communicate risk, roadmap, and incident posture clearly to technical teams and executive stakeholders.

This listing is sourced directly from Permian Resources's careers page and normalized into a canonical job model.