Lead secure, scalable product security across AI, data, and cloud-native systems.
Embed security by design throughout the product lifecycle with engineering teams.
Define architecture, automation, and frameworks for secure, intelligent products at scale.

🎯 Requirements

7+ years in product or application security engineering.
Deep SDLC security knowledge, threat modeling, and secure architecture.
Experience with AWS security concepts; container security and runtime protection.
Proficiency in Python, Java, and/or JavaScript for security tooling.
Experience securing AI/ML pipelines or model-serving infrastructure.
Familiarity with DevSecOps and CI/CD environments; encryption and secrets management knowledge.

🎁 Benefits

Competitive compensation and benefits.
Opportunity to shape product security strategy.
Collaborative, security-minded engineering culture.

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