Job Summary
The AI Security Automation Engineer is responsible for designing a resilient self healing infrastructure capable of defending against automated high frequency vulnerability discovery Their mission is to bridge the gap between AI driven threat identification and instantaneous architectural response ensuring the organizations defense operates at machine speed
Responsibilities
Integrate and manage frontier AI models and LLMbased security tools to perform continuous autonomous redteaming of production and development environments
Design and maintain automated pipelines that trigger immediate defensive actionssuch as virtual patching microsegmentation or credential rotationupon the discovery of valid exploit paths
Develop infrastructure templates TerraformAnsible that allow for the rapid hardening of the setting in response to newly discovered classes of algorithmic attacks
Analyze how frontier models chain minor vulnerabilities into complex exploits and use those insights to redesign architectural guardrails
Build APIdriven connections between autonomous discovery engines and the broader security stack WAF SIEM and CICD pipelines
Candidate Experience Requirements
58 years in Cybersecurity with at least 3 years in DevSecOps Cloud Security Engineering or Security Automation
Strong background in penetration testing or vulnerability research with a focus on logicbased exploits rather than just signaturebased flaws
Advanced proficiency in Python Go or similar languages specifically for building automated workflows and interacting with LLM APIs
Deep expertise in cloudnative security architectures AWSAzureGCP and container orchestration Kubernetes
- Participate in incident response activities related to cloud based payment systems by providing expert insights into pipeline configurations automation scripts and access controls that may influence containment and recovery steps.
- Optimize security tooling integration within DevSecOps pipelines to balance