Senior Defensive Cyber Ops Analyst: Threat & Incident Lead

Leidos LLC

Fort Meade (MD)

On-site

USD 108,000 - 195,000

Full time

10 days ago
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Job summary

Leidos seeks a Sr. Defensive Cyber Operations Analyst to support GSM-O II at Fort Meade, MD. You will monitor networks, triage incidents, and collaborate across intelligence, operations, logistics, and planning to prioritize vulnerabilities and drive mitigations. A DoD TS/SCI clearance and advanced certifications are required.

Responsibilities include threat analysis, incident response, and delivering decision-quality recommendations to leadership, leveraging cross-functional data and processes.

Qualifications

  • Bachelor's degree in a related discipline with 8+ years of experience (or more years in lieu of degree).
  • Active DoD TS/SCI clearance required.
  • DoD-8140 WRC 511 Intermediate certification required to start.

Responsibilities

  • Execute continuous network monitoring and incident handling.
  • Triage events and incidents and assist with trend development for AO-specific insights.
  • Support cross-functional forums to coordinate threat-informed vulnerability scoring and mitigation.
  • Provide threat analysis and recommendations with Cross Functional Fusion Team coordination.
  • Leverage intelligence to identify threats and reduce enterprise exposure to vulnerabilities.

Skills

Threat analysis
Incident handling
Network monitoring
CND methodologies
Independent work

Education

Bachelor's degree in related discipline

Tools

ArcSight
Splunk
Elastic

Job description

Leidos seeks a Sr. Defensive Cyber Operations Analyst to support GSM-O II at Fort Meade, MD. You will monitor networks, triage incidents, and collaborate across intelligence, operations, logistics, and planning to prioritize vulnerabilities and drive mitigations. A DoD TS/SCI clearance and advanced certifications are required.

Responsibilities include threat analysis, incident response, and delivering decision-quality recommendations to leadership, leveraging cross-functional data and processes.

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