SOC Detection Specialist

This is a remote position.

Location: Canberra, Australian Capital Territory (ACT) 
Security Clearance: ​Baseline Clearance

Threat Detection Engineering

• SIEM use case development and detection content creation
  
• Detection rule development and tuning
  
• EDR detection engineering
  
• SOAR playbook development
  
• Alert validation processes
  

Threat Modelling

• STRIDE
  
• MITRE ATT&CK
  
• Attack path analysis
  
• Detection coverage assessment
  
• Gap analysis
  

Threat Intelligence

• Threat intelligence integration and management
  
• Research into emerging threats
  
• Intelligence sharing across infrastructure and architecture teams
  

Security Operations

• SOC operations
  
• Incident response support
  
• Detection engineering lifecycle management
  
• Data source onboarding
  
• ITIL and Agile environments
  

AI Security (Important New Requirement)

The RFQ specifically calls for experience in:

• AI threat modelling
  
• Prompt injection detection
  
• AI model abuse detection
  
• AI-related data leakage monitoring
  
• Adversarial AI activity detection
  
• Security monitoring of AI platforms, services and agents
  

A strong candidate would typically have:

• 5+ years in SOC, Detection Engineering, Threat Hunting, or Cyber Security Operations
  
• Hands-on experience with platforms such as:
  
  • Microsoft Sentinel
    
  • Microsoft Defender XDR
    
  • Splunk
    
  • QRadar
    
  • CrowdStrike
    
  • Palo Alto Cortex XDR
    
• Experience developing KQL, SPL, Sigma, YARA, or similar detection content
  
• Strong understanding of MITRE ATT&CK
  
• Experience integrating threat intelligence feeds
  
• Good documentation and stakeholder engagement skills
  

Evaluation Themes to Address in a Submission

When preparing a candidate response, focus on evidence demonstrating:

1. Development of threat detection use cases and rules.
   
2. SIEM/EDR content engineering and tuning.
   
3. Threat modelling expertise using STRIDE and ATT&CK.
   
4. Threat intelligence integration and analysis.
   
5. Experience supporting incident response activities.
   
6. Security monitoring of cloud and on-premises environments.
   
7. AI security and emerging threat detection capabilities.
   
8. Working within Agile and ITIL environments.
   

Requirements

Essential criteria

• 1.Detection Engineering and SIEM Expertise - Demonstrated experience developing detection content across at least two enterprise SIEM platforms (e.g. Splunk, Microsoft Sentinel, QRadar, Elastic).
  

• 2.Threat Detection and Response Capability - Experience developing and implementing detections across SIEM, SOAR and EDR platforms, including incident response automation and playbook development.
  

• 3.Threat Modelling and Threat Intelligence - Practical experience conducting threat modelling using recognised methodologies (e.g. STRIDE, PASTA, ATT&CK) and translating outcomes into detection and monitoring requirements, supported by a strong understanding of the cyber threat intelligence lifecycle.
  

• 4.AI Security Monitoring - Experience identifying, assessing and developing monitoring controls for AI-related security risks, including enterprise AI platforms such as Microsoft Copilot or Azure AI.
  

• 5.Cyber Security Operations Experience - Minimum five years' experience in cyber security operations, supported by strong organisational, communication and stakeholder engagement skills.
  

Desirable criteria

• 1.Sigma Rule Development - Experience developing or using Sigma detection rules and translating detections between security platforms.
  

• 2.Advanced AI Security Knowledge - Familiarity with AI security frameworks and guidance, including ASD/ACSC, NIST, MITRE ATLAS and OWASP LLM Top 10. Relevant industry certifications such as GIAC, SANS, CISSP, GCIA, GCIH or equivalent cyber security qualifications.
  

• 3.EDR Platform Expertise - Experience with enterprise EDR technologies such as CrowdStrike, Microsoft Defender for Endpoint and Carbon Black.
  

• 4.Automation and Scripting - Proficiency in scripting languages such as Python and Bash to support detection engineering and security automation activities.
  

Benefits