Detection Engineering & Automation Lead

We are looking for a Detection Engineering & Automation Lead to improve detection quality and automation so high-risk attacker behavior is identified with less noise and faster investigation.

This is a unique opportunity to help build and mature the Detection Engineering & Automation function from an early stage, shaping processes, detection strategy, automation, and engineering best practices.

Responsibilities

• Lead and develop the Detection Engineering & Automation squad, setting priorities, mentoring team members, and driving the delivery of detection and automation initiatives
• Own the detection lifecycle end-to-end, including use-case definition, development, testing, tuning, and retirement
• Build and maintain SIEM/EDR detection rules, detection-as-code, enrichment workflows, and SOAR automation playbooks
• Collaborate with SOC, Cyber Defense leadership, Incident Response, and engineering teams to review false positives, reduce alert noise, and address detection coverage gaps
• Map detections to critical assets, attacker TTPs, telemetry sources, and incident response runbooks
• Ensure critical detections have a clear owner, documentation, and validated testing evidence
• Lead security automation initiatives that accelerate investigations while avoiding unsafe autonomous actions

Requirements

• Higher education in Computer Science, Information Security, or a related technical field is preferred
• 5+ years of experience in SOC, Detection Engineering, Threat Detection, or Security Automation
• 2+ years of hands-on experience in Detection Engineering
• 1+ year of experience leading or mentoring a team of engineers
  
• Hands-on experience writing and tuning detection content (Sigma, YARA, SIEM correlation rules) and applying detection-as-code practices
• Experience with SOAR platforms, automation playbooks, and scripting (Python or similar) to build integrations and automate security workflows
• Strong understanding of attacker TTPs (MITRE ATT&CK), telemetry sources (EDR, network, cloud, identity), and incident response workflows
• Experience defining and tracking Detection Engineering metrics and KPIs (MTTD, MTTR, false-positive rate, and detection coverage)

Will be a plus

• Experience in fintech, brokerage, trading platforms, payments, or other regulated financial environments
• Experience with cloud-native detection (CNAPP/CSPM) across AWS, GCP, and Azure
• Experience with AI/LLM-assisted alert summarization or detection tooling
• Threat intelligence and threat hunting experience (CTI feeds, MISP, Maltego, or similar tools)
• Previous experience building a Detection Engineering function from an early maturity stage

We offer

• 20 paid vacation days per year
• 10 paid sick leave days per year
• Public holidays as per the company’s approved Public holiday list
• Medical budget
• Opportunity to work remotely
• Professional education budget
• Language learning budget
• Wellness budget (gym membership, sports gear and related expenses)