Threat Management Specialist (Tier 2)

We need to output HTML fragment with sections for headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content. The posting includes: - Position 1 Hours: 3:30pm to 11:30pm ET Days off: Tuesday and Wednesday - Position 2 Hours: 11:30pm to 7:30am ET Days off: Saturday and Sunday That's schedule info. So we can have a Schedule section with that. - Key Responsibilities: list of responsibilities. So Responsibilities section. - Qualification Requirements: includes many bullet-like statements. Could be Requirements or Qualifications. The posting says "Qualification Requirements". Could treat as Requirements (or Qualifications). We need to decide which sections to include. We have both Requirements and Qualifications possible. The content includes: "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", etc. Also "Experience A minimum of eight (8) to twelve (12) years' relevant experience. A degree from an accredited College/University in the applicable field of services is required. If the individual's degree is not in the applicable field then four additional years of related experience is required. Typically performs all functional duties independently. One or more relevant certifications such as GIAC Certified Enterprise Defender (GCED), GIAC Certified Security Essentials (GSEC), CISSP, or SSCP desired". That's qualifications. We also have "Skills" maybe separate: "Excellent oral, written communication skills and excellent interpersonal and organizational skills", "Strong understanding of IDS/IPS technologies...", "Experience with cloud security (AWS, Azure, GCP)", "Hands-on experience with cybersecurity automation (e.g., SOAR platforms). Proficiency in using machine learning frameworks...". Those could be Skills. We need to avoid filler like "commensurate with experience". Not present. We need to output only HTML fragment, no extra tags. We'll create sections: About the role? The posting does not have an explicit "About the role" paragraph. It starts with position hours. Could we treat that as About the role? Probably not; better to omit About the role if no specific content. The instruction: include a section ONLY when the posting has real, specific content for it. So we should not create About the role if not present. We have Schedule, Responsibilities, Requirements, Qualifications, Skills maybe. But we need to avoid duplication. Could combine Requirements and Qualifications into one? But we have both headings allowed. We could put the experience/education/certifications under Qualifications, and the technical knowledge under Requirements. Or we could put all under Requirements and skip Qualifications. However the posting uses "Qualification Requirements" heading. Might be appropriate to split: Requirements = the bullet list of knowledge/experience (3+ years IT security, 2+ years network traffic analysis, strong working knowledge of..., etc). Qualifications = the education/experience years, degree, certifications. Skills = the communication, IDS/IPS, cloud security, automation, ML frameworks, data analysis, etc. We need to ensure we don't create sections with filler. All content is specific. Let's extract: Schedule: - Position 1 Hours: 3:30pm to 11:30pm ET Days off: Tuesday and Wednesday - Position 2 Hours: 11:30pm to 7:30am ET Days off: Saturday and Sunday Responsibilities (list): - 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. Requirements (maybe technical knowledge): - 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 (maybe this goes to Skills) But we can keep communication under Skills. Qualifications: - Experience A minimum of eight (8) to twelve (12) years' relevant experience. - A degree from an accredited College/University in the applicable field of services is required. - If the individual's degree is not in the applicable field then four additional years of related experience is required. - Typically performs all functional duties independently. - One or more relevant certifications such as GIAC Certified Enterprise Defender (GCED), GIAC Certified Security Essentials (GSEC), CISSP, or SSCP desired 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. We need to ensure we don't duplicate content. Some items appear in both Requirements and Skills; we need to decide where each belongs. The posting lumps them under "Qualification Requirements". It includes both experience and knowledge. We could just have one section "Requirements" that includes all bullet points. But the instruction allows multiple sections; we should not create thin sections. Having many sections may be okay if each has substantive content. However we risk splitting similar content. Better to have: Responsibilities, Requirements (includes experience, knowledge, skills), Schedule. Possibly Qualifications separate for education/certifications. But we could combine education/certifications into Requirements as well. Given the instruction: "Prefer a few substantive sections over many thin ones." So we should aim for maybe 3 sections: Responsibilities, Requirements (including experience, knowledge, skills, education, certifications), Schedule. Thus we will not create Qualifications or Skills separate. Let's craft: maybe not needed; just use headings

and then

• or

  . We need to wrap each section:

  Section Title

  then content. For Schedule: we have two lines; could be

  or

  . Since it's not a list of duties but schedule info, we can use

  . For Responsibilities: use

  • each. For Requirements: we have multiple bullet points; we can use
    • each. Make sure to preserve all substantive information. Do not omit any. Let's extract all requirement bullets precisely: From text: "Qualification Requirements 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 LogicTCP/IP FundamentalsNetwork Level ExploitsThreat 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. Experience A minimum of eight (8) to twelve (12) years' relevant experience.A degree from an accredited College/University in the applicable field of services is required. If the individual's degree is not in the applicable field then four additional years of related experience is required.Typically performs all functional duties independently.One or more relevant certifications such as GIAC Certified Enterprise Defender (GCED), GIAC Certified Security Essentials (GSEC), CISSP, or SSCP desired" We need to split into sensible items. Some run together without punctuation. We'll need to parse. Let's list items: - 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