Back
Remote role but senior, niche AppSec and AI-security specialization reduces applicant density.
AppSec and AI-security expertise are transferable, but require specialist cybersecurity background.
Explicit 8+ years and mandated AppSec, DevSecOps, and AI-security skills make screening highly selective.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead application security initiatives across products and engineering teams, including architecture reviews, threat modeling, and secure SDLC implementation.
Develop and enforce security guardrails for AI/LLM-powered applications to protect against prompt injection, data leakage, and emerging AI attack techniques.
Drive vulnerability management, automate security testing in CI/CD pipelines, mentor engineers, and align security priorities with engineering and product roadmaps.
8+ years of experience in Cybersecurity with deep expertise in Application Security and engineering-focused security initiatives.
Strong technical knowledge securing Web, Mobile (Android/iOS), and API (REST/GraphQL) environments with OWASP, OAuth 2.0, OIDC, JWT, SAML standards.
Hands-on DevSecOps skills including CI/CD security automation, container security (Kubernetes/Docker), and security tooling (SAST, DAST, SCA, Secret Scanning).
Proficiency in programming/scripting languages (Python, Go, JavaScript, or Bash).
Experienced in leading security initiatives for complex distributed platforms with high scale and diverse technologies.
Specialized knowledge in AI/LLM security threats and mitigations, including prompt injection and model misuse.
Able to communicate complex security risks effectively to both technical and non-technical stakeholders, influencing product and engineering decisions.