aipythonsastdastscathreat modelingcloud securityproduct securityidentity securityci cd security
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Современные технологии
Развитие в продукте
Безопасность AI
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Текст:
Hirify AI/Оригинал
TL;DR
Senior Product Security Engineer (AI) (application security/AI): Embedding product security across the software development lifecycle and building security tooling, guardrails, and vulnerability-management programs with an accent on threat modeling, code and design reviews, and AI/ML feature security. Focus on securing cloud-native workloads and CI/CD pipelines, validating vulnerabilities in real code, and driving remediation across engineering teams.
Location: Tel Aviv, Israel
Company
hirify.global develops an identity security platform that protects human, machine, and AI-agent identities across on-premises and cloud environments.
What you will do
Lead threat modeling for products, features, and architecture changes, translating findings into actionable security requirements.
Own SAST, DAST, SCA, and secrets-scanning tooling, including selection, integration, tuning, triage, and remediation.
Conduct hands-on security code and design reviews and identify vulnerabilities before release.
Partner with R&D on AI/ML feature security, including prompt injection, data exposure, and model misuse.
Drive supply-chain and CI/CD security through pipeline hardening, secrets management, SBOM generation, dependency-risk management, and external penetration-test remediation.
Requirements
5+ years of hands-on application or product security experience at a software company or security vendor.
Deep knowledge of OWASP Top 10, web, API, and cloud vulnerability classes, plus cryptography fundamentals including key management, TLS, and hashing; ability to validate vulnerabilities in real code.
Hands-on experience with SAST tools such as Semgrep or Checkmarx, DAST tools such as Burp Suite or OWASP ZAP, and SCA tools such as Snyk, Dependabot, or Black Duck.
Practical threat-modeling experience with a track record of making it useful for engineering teams.
Strong understanding of OAuth 2.0, OIDC, SAML, and JWT, including their security implications.
Cloud-native security experience across AWS or Azure, including workloads, containers, serverless, Terraform-based IaC, and CI/CD pipeline security with security gates and secrets management using Vault, AWS Secrets Manager, or similar tools.
Python or Bash scripting experience for building security tooling and automating findings workflows.
Hands-on production use of AI coding and reasoning tools such as Claude, ChatGPT, Copilot, or Cursor to improve delivery speed and quality.
Clear communication skills and the ability to drive remediation across engineering teams.
Nice to have
CVE research, bug-bounty hunting, or responsible-disclosure experience.
Offensive-security experience, including OSCP, CTF participation, or penetration-testing certifications.
Deep experience with identity protocols, token flows, delegated-trust patterns, and identity-related attack vectors.
Experience securing AI/ML features or pipelines.
Culture & Benefits
Work in a fast-moving environment focused on innovation and collaboration.
Partner closely with R&D as a security enabler and help make secure development the default path.
Contribute to an identity-security platform trusted by more than 1,000 customers, including Fortune 100 companies.
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