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Strong employer brand and metro location increase competition, but niche AI-security specialization reduces applicant pool.
Role requires deep security platform and AI experience, making background transferability limited across industries.
Explicit 8+ years and mandatory Python, GitLab CI/CD, API and AI-agent experience create strict technical filters.
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Design, develop, and operate production-grade automation and AI systems to improve security operations effectiveness and scalability.
Build and maintain API-driven integrations and AI-assisted workflows for Incident Response, Threat Intelligence, Detection Engineering, and Threat Hunting teams ensuring safety, reliability, and auditability.
Establish engineering standards and partner with security teams to deliver scalable automation and AI solutions impacting security operations at scale.
Bachelor's degree in Computer Science, Cybersecurity, Engineering, Information Systems, or related field, or equivalent practical experience.
Minimum 8 years experience in software, platform, security, or automation engineering or related technical disciplines.
Advanced proficiency in Python and GitLab CI/CD including reviewing and approving production automation pipelines and deployment workflows.
Experience building API-driven integrations using REST APIs with OAuth/token-based authentication, pagination, rate limiting, and error handling.
Experienced in designing and operating AI-assisted or agentic security automation with strong operational safety and validation practices.
Skilled in integrating and scaling security automation platforms across enterprise security functions with an emphasis on maintainability and auditability.
Strong system design and production engineering judgment, able to govern CI/CD pipelines and automation standards in distributed, asynchronous environments.