Description:

Lead the design and implementation of secure, scalable, and trustworthy products in AI, data, and cloud-native systems.
Collaborate with engineering, data science, and infrastructure teams to embed security throughout the product lifecycle.

Requirements:

7+ years of experience in product, application, or cloud security engineering.
Deep understanding of secure SDLC, threat modeling, and secure architecture design.
Proven expertise with AWS cloud security concepts and best practices.
Strong experience with container security and orchestration.
Proficiency in Python, Java, and/or JavaScript for security automation.
Experience securing AI/ML pipelines and data workflows.
Familiarity with DevSecOps and continuous integration/deployment environments.
Knowledge of encryption fundamentals and secrets handling best practices.

Skills

Benefits