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Strong employer brand plus a junior engineering title yields moderate applicant competition.
AppSec skills transferable across industries but AI/LLM security focus raises moderate domain specificity.
Requires explicit degree, minimum experience, and specific AppSec skills, so medium strictness.
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Provide security guidance and support for engineering teams across server-side, UI, and cloud technologies.
Assist in threat modeling, secure design/code reviews, and AI-specific risk assessments including prompt injection and data poisoning.
Develop and automate security testing using Python and open-source tools within CI/CD pipelines; support vulnerability triage and remediation.
Bachelor’s degree in Computer Science, Information Security, or related technical field, or equivalent experience.
At least 1 year of professional experience in Information Security, Application Security, or security-focused software development.
Proficiency in Python scripting for security automation; familiarity with Java or JavaScript/Angular is a plus.
Foundational knowledge of AI/LLM security risks and core application security concepts including OWASP Top 10.
Operates at the intersection of application security and AI, capable of assessing and mitigating evolving AI-related vulnerabilities.
Hands-on with security automation and tooling, comfortable working within CI/CD environments.
Experienced in collaborating with engineering teams to embed repeatable security patterns and practices in software development lifecycle.