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Tier-1 brand plus entry-level SDE title, but niche AppSec/AI focus reduces applicant density.
Specialized AppSec, threat modeling, and AI security requirements limit cross-industry transferability.
Explicit minimum experience, required AppSec domain skills and Python automation create moderate filtering.
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Provide security guidance to engineering teams covering server-side, UI frameworks, and cloud integrations.
Assist in threat modeling, secure design and code reviews, with focus on AI agents and LLM pipelines.
Develop and automate security testing in CI/CD pipelines using Python and open-source tools; research and remediate vulnerabilities.
Bachelor’s degree in Computer Science, Information Security, or related technical field, or equivalent practical experience.
Minimum 1 year professional experience in Information Security, Application Security, or security-focused software development.
Proficiency in Python for security scripting and automation; exposure to Java or JavaScript/Angular is a plus.
Foundational knowledge of AI/LLM concepts, application security basics (OWASP Top 10), and network/cryptography fundamentals.
Experienced with application security processes including threat modeling, code reviews, and vulnerability management in complex software environments.
Comfortable working with emerging AI security challenges and technologies including LLMs and AI-related vulnerabilities.
Able to build repeatable security patterns and automate security operations within CI/CD pipelines, supporting scalable secure development.