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

- Valuable 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.

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📌 SOC Detection Specialist (Canberra)
🏢 Powerdatagroup
📍 Canberra