Threat Management Specialist (Tier 2)

Summary

General Dynamics Information Technology (GDIT) is a global technology and professional services company delivering technology solutions and mission services across the U.S. government, defense, and intelligence communities. The Threat Management Specialist (Tier 2) supports USPS cyber missions by analyzing security incidents, network traffic, and threat intelligence, while advising on remediation and improving SOC capabilities through AI, machine learning, and automation.

Responsibilities

• 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 including Microsoft Defender for Cloud Apps, Defender for Endpoint, Defender XDR, Defender for Office 365, Azure Entra ID, and Google Cloud Security Command Center (SCC)
• 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
• Collaborate across Operations to provide SOC enhancement capabilities through the use of automation and AI

Skills

• 3 + years of related experience
• BA or BS in Computer Science, Information Technology or related field
• If resources do not have a relevant college degree, an additional 4 years of relevant work experience is required
• 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
• Understanding and experience identifying and implementing automation use cases
• Ability to obtain and maintain a **Public Trust clearance**
• This position has a **U.S. residency requirement**. The USPS security clearance process requires the selected candidate to have resided in the U.S. (including U.S. Territories) for the last 5 years as follows: + U.S. Citizens cannot have left the U.S. (including U.S. Territories) for longer than 6 months consecutively in the last 3 years (unless they meet certain exceptions). + Non-U.S. Citizens cannot have left the U.S. (including U.S. Territories) for longer than 90 days consecutively in the last 3 years
• One or more relevant certifications such as GIAC Certified Enterprise Defender (GCED), GIAC Certified Security Essentials (GSEC), CISSP, or SSCP desired
• Experience in evaluating the effectiveness of AI/ML solutions in a SOC environment is a plus

Qualifications

Must Haves

• 3 + years of related experience
• BA or BS in Computer Science, Information Technology or related field
• If resources do not have a relevant college degree, an additional 4 years of relevant work experience is required
• 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
• Understanding and experience identifying and implementing automation use cases
• Ability to obtain and maintain a **Public Trust clearance**
• This position has a **U.S. residency requirement**. The USPS security clearance process requires the selected candidate to have resided in the U.S. (including U.S. Territories) for the last 5 years as follows: + U.S. Citizens cannot have left the U.S. (including U.S. Territories) for longer than 6 months consecutively in the last 3 years (unless they meet certain exceptions). + Non-U.S. Citizens cannot have left the U.S. (including U.S. Territories) for longer than 90 days consecutively in the last 3 years

Nice to Haves

• One or more relevant certifications such as GIAC Certified Enterprise Defender (GCED), GIAC Certified Security Essentials (GSEC), CISSP, or SSCP desired
• Experience in evaluating the effectiveness of AI/ML solutions in a SOC environment is a plus

Benefits

• 401K with company match
• Comprehensive health and wellness packages
• Internal mobility team dedicated to helping you own your career
• Professional growth opportunities including paid education and certifications
• Cutting-edge technology you can learn from
• Paid vacation and holidays
• Medical plan options, some with Health Savings Accounts
• Dental plan options
• A vision plan
• A 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match
• Full flex work weeks where possible
• Paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave
• 15 days of paid leave per calendar year for new employees, to be used for vacations, personal business, and illness
• 10 paid holidays per year
• Up to 160 hours of paid leave in a rolling 12 month period through the GDIT Paid Family Leave program for eligible employees
• Short- and long-term disability benefits
• Life insurance
• Accidental death and dismemberment insurance
• Personal accident insurance
• Critical illness insurance
• Business travel and accident insurance
• Remote work