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Senior specialized security role at a metro startup with niche AI requirements, moderate applicant density.
Requires deep AI-native and runtime security experience, limiting easy cross-industry transferability.
Explicit 8–15 years and mandatory cloud, app, and runtime security skills make screens highly strict.
Own security for a large-scale multi-tenant AI-driven execution environment, including AI-generated applications, cloud infrastructure, and runtime environments.
Design and implement security patterns, threat models, detection, and defense mechanisms spanning application, infrastructure, and runtime layers.
Lead security efforts across application security, cloud security, infrastructure security, and CI/CD pipelines to secure autonomous software creation systems.
8–15+ years of hands-on security engineering experience covering both application/product security and cloud/infrastructure security.
Strong programming and automation skills in Python, JavaScript/TypeScript, or backend systems.
Deep expertise in application security (OWASP Top 10, auth, API security, injection, threat modeling) and cloud security (AWS/GCP, Kubernetes, containers, IAM, network security).
Experience securing multi-tenant, high-scale platforms executing untrusted or user-generated code.
Experienced in designing and securing systems that execute AI-generated or untrusted code with strong systems thinking connecting application and infrastructure risks.
Skilled at partnering with engineering and product teams to integrate security from architecture to implementation across diverse security domains.
Has background securing AI/LLM systems, prompt injection, sandboxed execution environments, and building scalable security solutions for autonomous software platforms.