CSOC Threat Management Specialist – Tier 2

Nightwing

Cyber Threat Management Specialist performing incident analysis and recommending security strategies at Nightwing. Analyzing network traffic and managing cybersecurity incidents to enhance threat detection.

Posted 7/12/2026full-timeFalls Church • North Carolina, Virginia • 🇺🇸 United StatesMid-LevelSenior💰 $77,000 - $163,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Cybersecurity problem identification, network traffic analysis, and incident response, utilizing AI/ML tools for threat detection and automation. Proficient in managing security incidents and enhancing organizational security posture through continuous improvement and risk management techniques.

Highest-signal resume keywords

Network Traffic AnalysisAI/ML-Based ToolsIncident ResponseCybersecurity AutomationCloud Security

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Cybersecurity Problem IdentificationThreat DetectionIncident ResponseBoolean LogicTCP/IP FundamentalsNetwork Level ExploitsIDS/IPS TechnologiesMachine Learning FrameworksLog AnalysisRisk Management Techniques

Soft Skills

Excellent Oral CommunicationExcellent Written CommunicationInterpersonal SkillsOrganizational Skills

Tools & Technologies

ProofPointSplunkFirePowerSentinel 1SOAR PlatformsAWSAzureGCP

Certifications & Qualifications

GIAC Certified Enterprise Defender (GCED)GIAC Certified Security Essentials (GSEC)CISSPSSCP

Industry Keywords

Threat ManagementControl FrameworksIDS/IPS ArchitecturesAnomaly DetectionBehavioral Analysis

Tech Stack

Tools & technologies

AWSAzureCloudCyber SecurityGoogle Cloud PlatformSplunkTCP/IP

About the role

Key responsibilities & impact

Identification of Cybersecurity problems which may require mitigating controls
Analyze network traffic to identify exploit or intrusion related attempts
Recommend detection mechanisms for exploit and or intrusion related attempts
Provide subject matter expertise on network-based attacks, network traffic analysis, and intrusion methodologies
Escalate items which require further investigation to other members of the Threat Management team
Execute operational processes in support of response efforts to identified security incidents
Utilize AI/ML-based tools and techniques to detect anomalies, automate incident triage, and improve threat intelligence
Performing and analyzing threat intelligence to assess risk and adapt defenses using ML enhance tools
Manage email security using ProofPoint, monitor for threats, and promptly respond to attacks
Configure Splunk for log analysis, create alerts, and investigate security incidents diligently
Set up FirePower for network monitoring, analyze traffic patterns, and enforce robust security measures
Deploy Sentinel 1 agents efficiently, monitor alerts closely, and conduct thorough security assessments
Monitoring, reviewing, and responding to security alerts and incidents across multiple platforms
Performing threat detection and analysis, investigating suspicious activity, coordinating incident response efforts, and implementing remediation actions
Tuning security policies, maintaining visibility into cloud and endpoint environments, and supporting continuous improvement of the organization’s security posture
Stay current on the latest cybersecurity trends, threat actors, and AI/ML research relevant to the field
Identify and support automation use cases, including the use of AI/ML to enhance SOC capabilities.

Requirements

What you’ll need

3+ years IT security experience with at least some exposure to AI/ML projects
2+ years’ experience in network traffic analysis
BA or BS in Computer Science, Information Technology or related field
One or more relevant certifications such as GIAC Certified Enterprise Defender (GCED), GIAC Certified Security Essentials (GSEC), CISSP, or SSCP desired
Strong working knowledge of: Boolean Logic, TCP/IP Fundamentals, Network Level Exploits, Threat Management
Knowledge of Control Frameworks and Risk Management techniques
Excellent oral, written communication skills and excellent interpersonal and organizational skills
Strong understanding of IDS/IPS technologies, trends, vendors, processes and methodologies
Strong understanding of common IDS/IPS architectures and implementations
Strong understanding of IDS/IPS signatures, content creation and signature characteristics including both signature and anomaly-based analysis and detection
Experience with cloud security (AWS, Azure, GCP)
Hands-on experience with cybersecurity automation (e.g., SOAR platforms)
Proficiency in using machine learning frameworks to develop, train, and deploy models for anomaly detection, threat intelligence, and behavioral analysis in cybersecurity contexts.

Benefits

Comp & perks

medical, vision and dental insurance coverage
401k plan
PTO
Holidays
additional insurances