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SOC Detection Engineer

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Onsite

SOC Detection Engineer

Gazelle Global

SOC Detection Engineer

Skills

PythonGitSplunkCybersecurityData AnalysisAI

7 days ago

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Important information


Contract type:

Freelance / Contract

Location:

England, UK

Work mode:

Onsite

Published on:

15 October 2026

What they need


Senior SOC Detection Engineer | 6-Month Contract

Location: Leamington Spa / Manchester / Warrington Working Pattern: Hybrid, 3 days onsite

The Role

We are looking for experienced SOC Detection Engineers to design, develop and continuously improve threat-led detection capabilities across an enterprise security environment.

You will translate cyber threat intelligence, threat modelling outputs, threat hunting findings, red/purple team exercises and incident learnings into high-fidelity detection logic that identifies sophisticated attacker behaviour while minimising false positives.

This is a specialist detection engineering position focused on attacker behaviour analytics, detection coverage, security telemetry, detection automation and continuous improvement.

The role is not primarily focused on day-to-day SIEM administration or platform support.

Key Responsibilities

  • Design, develop and maintain threat-led detection rules aligned with MITRE ATT&CK and organisational threat models.
  • Translate threat intelligence, threat hunting insights, red/purple team findings and incident investigations into effective detection use cases.
  • Develop behavioural, risk-based and correlated detections across endpoint, identity, cloud, network, email and application telemetry.
  • Continuously tune and optimise detection logic to improve detection accuracy, reduce false positives and strengthen SOC effectiveness.
  • Assess detection coverage, identify telemetry gaps and define requirements for improved security monitoring.
  • Validate detection capabilities through attack simulation, purple teaming and adversary emulation.
  • Maintain detection documentation, version control and engineering standards, including Detection-as-Code practices.
  • Collaborate with Threat Intelligence, Threat Hunting, Incident Response, Red Team and SOC Operations teams.
  • Develop automation for detection testing, validation, reporting and lifecycle management.
  • Identify opportunities to automate repetitive SOC analyst activities.
  • Contribute to AI-enabled detection hypothesis generation and automated rule creation pipelines.

Essential Skills and Experience

  • Strong hands-on experience in SOC Detection Engineering, including detection rule development, validation, tuning and lifecycle management.
  • Excellent knowledge of MITRE ATT&CK, attacker TTPs, behavioural analytics and threat-led detection methodologies.
  • Experience translating cyber threat intelligence, threat modelling and threat hunting findings into operational detection logic.
  • Practical experience developing detection content using KQL, SPL, Sigma, Python and PowerShell.
  • Strong understanding of security telemetry across endpoint, identity, cloud, network, authentication and application environments.
  • Experience with detection correlation, threat analysis and Detection-as-Code methodologies.
  • Strong understanding of incident response, threat hunting, attack investigation and detection effectiveness.
  • Knowledge of Active Directory, IAM, cloud security, endpoint security, network security and email security.
  • Ability to identify monitoring gaps, improve detection coverage and reduce false positives.
  • Experience collaborating with SOC, Threat Intelligence, Incident Response and offensive security teams.

Desirable Experience

  • Experience developing enterprise-scale detections using Microsoft Sentinel, Splunk, Elastic or Google Chronicle.
  • Experience creating detections using telemetry from Microsoft Defender, CrowdStrike, SentinelOne or equivalent EDR/XDR platforms.
  • Hands-on involvement in purple teaming, adversary emulation and attack simulation.
  • Experience creating behavioural detections for sophisticated threat actors.
  • Experience automating detection testing and validation processes.
  • Experience supporting AI-enabled detection engineering or automated rule creation.
  • Relevant degree in Cybersecurity, Computer Science, Digital Forensics, Information Security or equivalent experience.

Apply

For more information or to apply directly, please email I review applications daily and will contact shortlisted candidates as quickly as possible.

Desired Skills and Experience

SOC Detection Engineering, MITRE ATT&CK, Threat Hunting, KQL, SPL, Sigma Rules, Detection-as-Code, Microsoft Sentinel, Splunk, Python Automation

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