SOC Detection Specialist

Location: Canberra, Australian Capital Territory (ACT) (remote considered)

Security Clearance: Baseline Clearance

Threat Detection Engineering

• SIEM use case development and detection content creation
  
• Detection rule development and tuning
  
• SOAR playbook development
  
• STRIDE
  
• MITRE ATT&CK
  
• Attack path analysis
  
• Detection coverage assessment
  
• Gap analysis
  
• Threat intelligence integration and management
  
• Research into emerging threats
  
• Intelligence sharing across infrastructure and architecture teams
  

Security Operations

• SOC operations
  
• ITIL and Agile environments
  

AI Security (Important New Requirement)

The RFQ specifically calls for experience in:

• AI threat modelling
  
• 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
  
• Splunk
  
• QRadar
  
• CrowdStrike
  
• 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:

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

Requirements

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.

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.