SOC Analyst II - Threat Management Specialist

Threat Management Specialist (Tier
2)

Location:

Remote

The Tier 2 Analysts perform deep-dive incident analysis by correlating data from various sources and determining if a critical system or data set was affected. They handle incidents as defined in playbooks and SOPs, advise on remediation actions, and provide input and analysis on how to leverage AI, ML, and SOAR capabilities to improve CSOC efficiency and accuracy.

• 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
• Perform threat intelligence to assess risk and adapt defenses using ML enhanced 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 Fire Power 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 including Microsoft Defender for Cloud Apps, Defender for Endpoint, Defender XDR, Defender for Office 365, Azure Entra , and Google Cloud Security Command Center (SCC)
• Perform threat detection and analysis, investigate suspicious activity, coordinate incident response efforts, and implement remediation actions
• Tune security policies, maintain visibility into cloud and endpoint environments, and support 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
• Collaborate across Operations to provide SOC enhancement capabilities through the use of automation and AI

• 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

• 3+ years IT security experience with at least some exposure to AI/ML projects
• 2+ years’ experience in network traffic analysis
• 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
• Skills in data analysis and feature engineering, with the ability to preprocess and transform large datasets from various sources (e.g., logs, network traffic) to extract relevant features for machine learning models aimed at identifying security incidents and vulnerabilities
• Familiarity with the application of AI/ML techniques in cybersecurity, including but not limited to automated threat detection, incident response automation, and predictive analytics. Experience in evaluating the effectiveness of AI/ML solutions in a SOC environment is a plus
• Understanding and experience identifying and implementing automation use cases