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DAE/SI Cyber Threat Analyst (US Citizens or Green Card)

PublishedPublished: 6/14/2022
Technology

Job Description

Please note that all applicants must be US Citizens or Green Card holders and no C2C candidates will be accepted.

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Summary:

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  • Tier One Technologies is looking for a Detection & Automation Engineering (DAE) / Super Intelligence (SI) Cyber Threat Analyst to work with our direct US Government client.
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  • This semi-remote Contract-to-Hire position can start in Falls Church, VA, Raleigh, NC or Eagan, MN.
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  • SELECTED CANDIDATES WITHOUT REQUIRED CLEARANCE WILL BE SUBJECT TO A FEDERAL GOVERNMENT BACKGROUND INVESTIGATION TO RECEIVE IT.
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Responsibilities:

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  • Support CISO Operations in designing, implementing, and maintaining automated/Super Intelligence security detection, integration capabilities across enterprise security monitoring technologies.
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  • Improve threat detection and response through detection engineering, security automation, systems integration, data analysis, super intelligent and continuous improvement of detection content and workflows.
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  • Collaborate closely with security operations, threat intelligence, and incident response stakeholders, along with strong documentation and operationalization practices.
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  • Build automation/SI and integration workflows to improve detection and response.
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  • Integrate and optimize security technologies (e.g., SIEM, EDR, SOAR, threat intelligence) into a cohesive detection architecture.
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  • Perform requirements analysis and translate operational security needs into technical specifications and implementable solutions.
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  • Execute testing, evaluation, and validation of detections and automation/SI workflows; drive continuous improvements based on results and operational feedback.
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  • Analyze telemetry to identify anomalies, trends, and detection gaps; recommend and implement detection enhancements.
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  • Create and maintain technical documentation, SOPs, and runbooks to support reliable operations.
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  • Work closely with SOC, threat intelligence, and incident response teams to align detections to threat priorities and operational processes.
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  • Research and assess new security and SI/ML capabilities to enhance detection effectiveness.
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Qualifications:

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  • A degree from an accredited College/University in the applicable field of services is required. If an individual's degree is not in the applicable field, then 4 additional years of related experience is required.
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  • 8+ years of experience with cyber security operations, threat hunting, and incident response.
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Essential Technical Knowledge Areas (plus important/beneficial)

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  • SOAR Tools: SentinelOne, SentinelOne Hyperautomation, Splunk Enterprise Security, Splunk SOAR
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  • Super Intelligence (SI) Security
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  • SOC operations and processes
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  • Threat intelligence lifecycle and analysis
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  • Incident response methodologies
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  • Network protocols and architecture
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  • Operating systems (Windows/Linux/Unix)
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  • Cloud platforms (AWS/Azure/GCP)
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  • Security architecture and design
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  • Programming/scripting (Python, PowerShell, Bash)
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  • API integration and development
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  • Detection engineering methodologies
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  • Security automation and orchestration concepts
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Frameworks, Standards & Compliance Expectations

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• NIST SP 800-53 Security Controls

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• CIS Controls

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• MITRE ATT&CK Framework

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Important/beneficial

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• CISA NICE Framework

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• ISO 27001/27002

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• FISMA

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• FedRAMP

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• OMB Circulars and Federal Cybersecurity Directives

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• Privacy Act

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• Malware analysis

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• Digital forensics procedures

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• Risk assessment methodologies

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• Machine learning and SI for security

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Certifications

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  • (One or more required): CISSP or CISA or CISM or GIAC or RHCE.
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  • Excellent oral and written communication skills.
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  • Must be able to obtain a Position of Public Trust Clearance.
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  • All candidates must be a US Citizen or have permanent residence status (Green Card).
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  • Candidate must have lived in the United States for the past 5 years.
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  • Cannot have more than 6 months travel outside the United States within the last 5 years. Military Service excluded.
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