Overview In this role you will drive security across the product lifecycle for an AI-powered enterprise platform. You'll partner with engineering teams to bake security into design, development, and deployment, addressing risk early and continuously. You'll lead threat modeling, reviews, and secure coding practices while enabling product teams with training and automation. This is an opportunity to safeguard mission-critical, cloud-based systems at scale and shape secure software delivery. You will operate as a security advocate, delivering practical, engineering-friendly security improvements.
Responsabilidades Secure SDLC integration with engineering teams
Threat modeling and design reviews to identify and mitigate risks
Security enablement through training and championing secure coding practices
Code and CI/CD pipeline reviews with a security lens
Vulnerability discovery and triage with remediation guidance
Security tooling and automation to improve feedback loops
Cross-functional collaboration with Product, SecOps, and Platform teams
Security advocacy through documentation, workshops, and coaching
Security automation to improve detection, response, and compliance efficiency
Requisitos principales 4+ years in cybersecurity or software engineering with at least 2 years in application security
Strong understanding of software development processes and engineers language
Proficiency in programming/scripting languages (e.g., Ruby, Java, Python, JavaScript, Bash)
Hands-on experience with vulnerability scanners and security testing tools
Strong knowledge of threat modeling and security architecture reviews
AI/ML security experience including risk assessment and prevention guidelines
Cross-functional collaboration
Training and knowledge sharing
Proactive security advocacy
Ruby, Java, Python, JavaScript, Bash
Vulnerability scanners and security testing tools
Threat modeling and security architecture reviews