Threat Management Specialist
General Dynamics Information TechnologyAbout the role
Type of Requisition:
PipelineClearance Level Must Currently Possess:
NoneClearance Level Must Be Able to Obtain:
NonePublic Trust/Other Required:
MBI (T2)Job Family:
Cyber and IT Risk ManagementJob Qualifications:
Skills:
Network Traffic, Threat Detection, Threat ManagementCertifications:
NoneExperience:
3 + years of related experienceUS Citizenship Required:
NoJob Description:
Seize your opportunity to make a personal impact as a Threat Management Specialist supporting the United States Postal Service. GDIT is your place to make meaningful contributions to challenging projects and grow a rewarding career.
At GDIT, people are our differentiators. As a Threat Management Specialist, you will help ensure today is safe and tomorrow is smarter. Our work depends on a Threat Management Specialist joining our team to analyze design, develop, implement, and support code for our government customer, the United States Postal Service.
HOW A THREAT MANAGEMENT SPECIALIST WILL MAKE AN IMPACT
In this role, a typical day will include:
- Performing deep-dive incident analysis by correlating data from various sources and determines if a critical system or data set affected. Handle incidents as defined in Playbooks and SOPs. They also advise on remediation actions and provide input and analysis on how to leverage Artificial Intelligence, Machine Learning, and SOAR capabilities to improve CSOC efficiency and accuracy.
- Position #1
- Hours: 3:30pm to 11:30pm
- Days off: Tuesday and Wednesday
- Position #2
- Hours: 11:30pm to 7:30am
- Days off: Saturday and Sunday
WHAT YOU’LL NEED TO SUCCEED:
Education:
- Bachelor's or Master's degree in Computer Science, Information Systems, Cybersecurity or other related fields. Or equivalent work experience.
- NOTE: If resources do not have a relevant college degree, an additional 4 years of relevant work experience is required.
Required Experience:
- 3+ years IT security experience with at least some exposure to AI/ML projects
- 2+ years’ experience in network traffic analysis
- One or more relevant certifications (desired):
- GIAC Certified Enterprise Defender (GCED)
- GIAC Certified Security Essentials (GSEC)
- CISSP
- SSCP
- Strong working knowledge of:
- Boolean Logic
- TCP/IP Fundamentals
- Network Level Exploits
- Threat Management
- Knowledge of Control Frameworks and Risk Management techniques
- 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
- 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 fo
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