Security Automation Engineer

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Skills you'll use

What you'll do

• AI-Powered Response Automation
• Design and operate SOAR playbooks and agentic AI workflows that triage, enrich, and respond to security alerts with minimal human intervention.
• Detection Engineering Support
• Translate detection logic and AI model outputs into actionable, low-noise alerts. Tune thresholds and automate feedback loops to continuously improve signal quality.
• Integration & Pipeline Development
• Build and maintain integrations between security tools (SIEM, EDR, TIP, identity platforms) and AI inference services using APIs, event streaming, and orchestration frameworks.
• Observability & Reliability
• Instrument automation pipelines with metrics, logging, and alerting so the security ops team can trust and verify AI-driven decisions in production.
• Automation Testing & Validation
• Write tests for playbooks and automation logic. Run purple-team exercises and tabletop simulations to validate that automated responses behave correctly under adversarial conditions.

Who can apply

• Basic Requirements
• 5+ years in security engineering, SecOps, or automation roles
• Proficiency in Python and/or Go for scripting and tooling
• Hands-on SOAR experience (Splunk SOAR, Palo Alto XSOAR, Tines, or similar)
• Experience with SIEM platforms (Splunk, Microsoft Sentinel, Google Chronicle)
• REST API integration and event-driven architecture
• Understanding of threat detection logic (MITRE ATT&CK, kill chain)
• Familiarity with LLM/AI APIs and prompt-driven automation workflows
• Version control and CI/CD practices (Git, GitHub Actions)
• Cloud security fundamentals (AWS, Azure, or GCP)

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