SOC Automation Solutions Engineer (Super Intelligence)

Triangle Cyber, LLC

Oregon

Hybrid

USD 120,000 - 180,000

Full time

6 days ago
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Job summary

Triangle Cyber, LLC is seeking a SOC Automation Solutions Engineer to design, implement, and maintain automated detection capabilities across integrated security monitoring technologies for a large Federal client.

You will collaborate with SOC, threat intelligence, and incident response teams, develop automated workflows, and continuously improve detection content and runbooks to strengthen threat detection and response.

Qualifications

  • Must be a U.S. citizen and reside within the United States.
  • Eight+ years of relevant experience.
  • Bachelor of Science degree in an applicable field; if not, four more years of related experience (total 12).
  • Experience developing SOC automation solutions using Super Intelligence.
  • Security certifications: CompTIA Security+ or equivalent (CySA+, SSCP, GSEC, CCNA CyberOps, SC-200, CISSP).
  • One of GCIA, GCIH, or CompTIA CySA+ certifications.
  • Programming/scripting proficiency (e.g., Python, PowerShell).
  • Experience with SOAR tools: SentinelOne, SentinelOne Singularity Hyperautomation, Splunk ES, Splunk SOAR.
  • Experience with SOC operations and Threat Intelligence methodologies.

Responsibilities

  • Detection Engineering & Automation/SI: Build automation/SI and integration workflows to improve detection and response.
  • Security platform integration: Integrate and optimize security technologies (SIEM, EDR, SOAR, threat intel) into a cohesive detection architecture.
  • Requirements-to-implementation: Analyze requirements and translate into technical specs and implementable solutions.
  • Testing & validation: Test, evaluate, and validate detections and workflows; drive improvements based on results.
  • Security data analysis: Analyze telemetry to identify anomalies, trends, and detection gaps; implement enhancements.
  • Documentation & sustainment: Create and maintain technical docs, SOPs, and runbooks.
  • Cross-functional coordination: Work with SOC, threat intel, IR to align detections with priorities.
  • Emerging capability evaluation: Research and assess new security/SI/ML capabilities.

Skills

Detection engineering
Security automation
SOAR/SIEM integration
Threat intelligence
Python/PowerShell
Documentation
Runbooks
Cross-functional collaboration
Telemetry analysis
Security certifications (Security+ or

Education

Bachelor of Science degree

Tools

SentinelOne
SentinelOne Hyperautomation
Splunk Enterprise Security
Splunk SOAR

Job description

Triangle Cyber is seeking a SOC Automation Solutions Engineer for a large Federal client to design, implement, and maintain automated/Super Intelligence (SI) security detection capabilities across integrated enterprise security monitoring technologies. The SOC Automation Solutions Engineer will strengthen threat detection and response through detection engineering, security automation, systems integration, data analysis, super intelligence, and continuous improvement of detection content and workflows. The role requires close collaboration with security operations, threat intelligence, and incident response stakeholders, along with strong documentation and operationalization practices.

Core Roles & Responsibilities
  • Detection Engineering & Automation/SI: Build automation/SI and integration workflows to improve detection and response.
  • Security platform integration: Integrate and optimize security technologies (e.g., SIEM, EDR, SOAR, threat intelligence) into a cohesive detection architecture.
  • Requirements-to-implementation: Perform requirements analysis and translate operational security needs into technical specifications and implementable solutions.
  • Testing & validation: Execute testing, evaluation, and validation of detections and automation/SI workflows; drive continuous improvements based on results and operational feedback.
  • Security data analysis: Analyze telemetry to identify anomalies, trends, and detection gaps; recommend and implement detection enhancements.
  • Documentation & sustainment: Create and maintain technical documentation, SOPs, and runbooks to support reliable operations.
  • Cross-functional coordination: Work closely with SOC, threat intelligence, and incident response teams to align detections to threat priorities and operational processes.
  • Emerging capability evaluation: Research and assess new security and SI/ML capabilities to enhance detection effectiveness.
Must-Have Requirements
  • Must be a U.S. citizen and reside within the United States
  • Must have a minimum of eight (8) years of relevant experience.
  • Must have a Bachelor of Science degree from an accredited College/University in the applicable field of services. If the indiviual's degree is not in the applicable field, then four additional years of related experience is required (twelve years).
  • Must have prior experience developing SOC automation solutions using Super Intelligence
  • Must have either CompTIA Security+ certification or equivalent (CompTIA CySA+, SSCP, GSEC, CCNA CyberOps, Microsoft Cybersecurity Analyst (SC-200), CISSP)
  • Must have one of GCIA, GCIH, or CompTIA CySA+ certifications
  • Must have programming/scripting certification or demonstrated proficiency (e.g., Python, PowerShell, similar)
  • Must have experience with SOAR Tools: SentinelOne, SentinelOne Singularity Hyperautomation, Splunk Enterprise Security, Splunk SOAR
  • Must have experience with SOC operations and processes, including Incident Response and Threat Intelligence methodologies.
Desired Experience
  • CISSP, GIAC Security Essentials (GSEC), CompTIA SecAI+, and/or GMON certifications
  • Network protocols and architecture
  • Operating systems (Windows/Linux)
  • Cloud platforms (AWS/Azure/GCP)
  • Security architecture and design
  • API integration and development
  • NIST SP 800-53 Security Controls
  • CIS Controls
  • MITRE ATT&CK Framework
  • CISA NICE Framework
  • ISO 27001/27002
  • FISMA
  • FedRAMP
  • OMB Circulars and Federal Cybersecurity Directives
  • Privacy Act
  • Malware analysis
  • Digital forensics procedures
  • Risk assessment methodologies
  • Machine learning and SI for security
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