Cybersecurity Expert – Real‑World Security Scenarios for AI

About the role

We are looking for an experienced Cybersecurity Expert to design and test realistic security scenarios for advanced AI models. You will work on creating vulnerable applications, building automated test frameworks, and analysing AI‑generated security solutions.

Key responsibilities

• Create vulnerable applications and security test environments.
• Design realistic attack scenarios that combine multiple vulnerabilities.
• Review code, develop secure patches, and build automated security testing frameworks.
• Analyse AI‑generated security solutions and identify weaknesses.
• Work with containerised environments such as Docker.

Required profile

• 4+ years of experience in cybersecurity, application security, or vulnerability research.
• Strong analytical and problem‑solving skills.
• Knowledge of Docker and Linux internals.
• Experience writing automated tests and analysing obfuscated or minified code.

Required skills

• Bug bounty, CVE handling, red‑team operations, or CTF participation.
• Secure code review and vulnerability fixing.
• Security tools: SAST, fuzzing, IAST.
• Web security concepts: OAuth, JWT, authentication, sessions, SSRF, injection, access‑control issues.
• Cryptographic and filesystem vulnerabilities (path traversal, symlink attacks, TOCTOU).
• Proficiency in at least two languages: Go, Python, Node.js, Rust.
• Docker and Linux environment expertise.