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Mid-level DevOps title, metro location, and 2–5 year focus increase applicant competition.
Core DevOps and AI automation skills are transferable, though security context adds moderate domain specificity.
Requires specific DevSecOps, cloud and AI automation skills plus 2+ years hands-on experience.
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Design, build, and operate AI-driven and automation-first security and operational workflows to reduce manual effort across SOC, IAM, and security testing.
Implement and operationalize enterprise AI framework collaboratively with AI, platform, and security teams to enhance security automation.
Develop and maintain automation frameworks, CI/CD pipelines, scripts, and APIs applying DevSecOps best practices to improve platform reliability and security.
Bachelor’s Degree in Computer Science, AI/ML, Software Engineering, Cyber Security or equivalent with relevant work experience.
Minimum 2+ years work experience in DevOps, Automation Engineering, Security Engineering, or related hands-on engineering roles.
Hands-on expertise in programming, CI/CD pipelines, DevSecOps practices, cloud environments, and AI technologies including LLMs and agentic AI systems.
Work Environment: Normal office environment, hybrid.
Experienced in building real AI use cases and automation pipelines focused on security domain problems including detection, triage, enrichment, and response automation.
Strong operational focus with expertise in DevSecOps, cloud (preferably AWS), and developing automation to streamline security operations workflows.
Comfortable working at the intersection of DevOps, security engineering, and applied AI in a fast-learning, experimentation-driven environment.