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:

- 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

Essential criteria

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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).

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

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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.

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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.

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

Desirable criteria

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

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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.

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

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4.Automation and Scripting - Proficiency in scripting languages such