Hybrid Senior SOC Engineer — AI-Driven Detection

Lumora Solutions; Royal Leamington Spa; Hybrid; GBP 70,000 - 100,000; Full time

Job summary

Lumora Solutions is seeking a Senior SOC Engineer to join a global cybersecurity consultancy. The role centers on enhancing security monitoring, detection and response across enterprise environments, while driving SOC automation, efficiency and the use of AI to strengthen threat detection and response.

You will design, implement and tune SIEM rules, onboard logs across cloud and on-premises systems, and build scalable data pipelines to improve detection quality and reduce noise.

Qualifications

• Strong experience in Detection Engineering, SIEM, alert tuning and false-positive reduction.
• Hands-on experience with SIEM/SOAR, log onboarding, parsing, automation and API integrations.
• Strong problem-solving, communication and leadership skills.
• Experience with Microsoft Sentinel and/or CrowdStrike NG SIEM is beneficial.

Responsibilities

• Design, develop and optimise SIEM detection rules, alerts and correlation logic to improve detection accuracy and reduce false positives.
• Engineer and onboard security logs across cloud, infrastructure, applications and security technologies.
• Build and optimise log ingestion, parsing, normalisation and enrichment processes to ensure high-quality security data.
• Continuously improve detection coverage, alert quality and SOC efficiency through automation and engineering.

Skills

Detection Engineering

SIEM

Alert tuning

False-positive reduction

Leadership

Problem-solving

Communication

Tools

SIEM/SOAR

Log onboarding

Parsing

Automation

API integrations

Job description

Lumora Solutions is seeking a Senior SOC Engineer to join a global cybersecurity consultancy. The role centers on enhancing security monitoring, detection and response across enterprise environments, while driving SOC automation, efficiency and the use of AI to strengthen threat detection and response.

You will design, implement and tune SIEM rules, onboard logs across cloud and on-premises systems, and build scalable data pipelines to improve detection quality and reduce noise.