Remote Associate Cyber Engineer AI SOC Automation

HealthEquity

United States

Remote

USD 90.000 - 150.000

Vollzeit

Vor 2 Tagen
Sei unter den ersten Bewerbenden

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Benefits dieser Stelle

Remote work

Zusammenfassung

HealthEquity is a healthcare financial technology company that protects member data and oversees AI-driven SOC automation and incident response. The role serves as the overnight technical point of contact for high-severity incidents, ensuring rapid containment and escalation when needed.

You will build, test, and deploy automations and agent workflows across security platforms, while tracking metrics and conducting regression tests to improve accuracy and reduce false positives.

Qualifikationen

  • 2+ years in security operations, detection engineering, or incident response.
  • Hands-on experience with SIEM and SOAR platforms plus proficiency in Python.
  • Working knowledge of EDR/XDR, identity, email, and cloud security.

Aufgaben

  • Protect member data by operating and improving AI-driven SOC automation and incident response.
  • Serve as the overnight technical point of contact for high-severity incidents.
  • Supervise AI triage workflows, validate agent output, and make escalation or containment decisions.
  • Build, test, and deploy automations and agent workflows across security platforms.
  • Track agent metrics and run regression tests to improve accuracy and reduce false positives.

Kenntnisse

Python
SIEM
SOAR
EDR/XDR

Tools

SIEM/SOAR platforms

Jobbeschreibung

HealthEquity is a healthcare financial technology company that protects member data and oversees AI-driven SOC automation and incident response. The role serves as the overnight technical point of contact for high-severity incidents, ensuring rapid containment and escalation when needed.

You will build, test, and deploy automations and agent workflows across security platforms, while tracking metrics and conducting regression tests to improve accuracy and reduce false positives.

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