Cyber Security Specialist

Job SummaryThe 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 ResponsibilitiesIntegrate and manage frontier AI models and LLMbased security tools to perform continuous autonomous redteaming of production and development environmentsDesign and maintain automated pipelines that trigger immediate defensive actionssuch as virtual patching microsegmentation or credential rotationupon the discovery of valid exploit pathsDevelop infrastructure templates TerraformAnsible that allow for the rapid hardening of the environment in response to newly discovered classes of algorithmic attacksAnalyze how frontier models chain minor vulnerabilities into complex exploits and use those insights to redesign architectural guardrailsBuild APIdriven connections between autonomous discovery engines and the broader security stack WAF SIEM and CICD pipelinesCandidate Experience Requirements58 years in Cybersecurity with at least 3 years in DevSecOps Cloud Security Engineering or Security AutomationStrong background in penetration testing or vulnerability research with a focus on logicbased exploits rather than just signaturebased flawsAdvanced proficiency in Python Go or similar languages specifically for building automated workflows and interacting with LLM APIsDeep 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 robust protection with efficient developer experience thereby supporting continuous delivery objectives for payment capabilities.
• Review code and configuration changes associated with cards and payments platforms to validate adherence to secure coding practices encryption requirements and segregation of duties models before production promotion.

Qualifications

• Demonstrate four to eight years of hands on cyber security experience with significant focus on Azure automation capabilities such as runbooks pipelines and policy driven enforcement for complex applications.
• Show proven expertise implementing DevSecOps methodologies including integrating security testing tools secrets management and configuration validation within multi stage CI CD pipelines.