Back
Strong Tier-1 brand, mid-level years, metro location, and broad security skillset increase candidate competition.
Requires specialized product and AI/cloud security experience, limiting cross-industry transferability.
Explicit 3–5 years requirement plus mandatory cloud, container, and application security skills increases shortlisting strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Identify and mitigate novel security risks in AI-driven and agent-based products, implementing safeguards where industry standards are lacking.
Conduct secure design reviews and threat modeling to establish prioritized security requirements and controls across distributed systems.
Collaborate with product and engineering teams to integrate security practices throughout the development lifecycle, including remediation of security findings from tests and bug bounty programs.
3–5 years of experience in application, product, or security engineering, or a related technical security role.
Knowledge of security risks affecting AI/ML products, agent-based systems, AI models, and pipelines.
Experience securing multi-cloud platforms and SaaS systems, including Kubernetes- and Docker-based environments.
Practical skills in secure code reviews (Java, JavaScript, Python), and use of security assessment tools (Burp Suite, Nessus, Metasploit, Nmap).
Experienced in threat modeling and applying an adversarial mindset to reduce security risks in AI-driven products.
Able to work cross-functionally with product and engineering teams to design scalable security controls for complex distributed systems.
Familiar with modern cloud-based architectures and security tools, and comfortable handling evolving threats in AI/ML and agent-based platforms.