The opportunity
Security challenges unique to AI-driven products and data governance.
What you'll do
Independently apply advanced knowledge of security architecture to guide: software engineers in building secure products and services across a diverse technology stack, including microservices, mobile applications, and cutting-edge AI-driven solutions.
Serve as a technical leader and mentor , collaborating closely with: engineering teams to understand and address their complex application security needs, including those related to emerging technologies like Generative AI (GenAI) and Large Language Models (LLM).
Perform application security design reviews, threat modeling, and code: reviews , ensuring security principles are embedded in every stage of the development lifecycle.
Utilize expert penetration testing skills to assess and strengthen the: security of internal and external applications and services, including AI-powered features and traditional systems.
Independently develop advanced tooling to support the Secure Software: Development Lifecycle (SSDLC) and other security initiatives across diverse product environments.
Build automation frameworks to enable engineering teams to deliver secure: features efficiently, whether for AI solutions or traditional applications.
What they're looking for
- Mentor and educate engineering teams and security champions on secure coding: and development practices, including security considerations unique to AI and data governance.
- Empower engineering teams to independently identify and remediate: vulnerabilities before they reach production, with a focus on both general application security and AI-specific risks.
- Lead reactive incident response if a security event occurs.
- Conduct proactive and in-depth research to detect new attack vectors,: including those targeting AI technologies, data pipelines, and LLM-based systems.
