Lead Security Engineer - Penetration Testing & AI Security
J
JobgetherCybersecurity
Based in IndiaFull-TimeLead
Salary not disclosed
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Job Details
- Experience
- 8+ years of cybersecurity experience, with 1–3 years of experience in AI Security
- Required Skills
- DockerPythonKubernetesGo
Requirements
- 8+ years of cybersecurity experience in Application Security, product security, or penetration testing.
- 1–3 years of experience in AI Security, AI/ML security, or applied AI research.
- Strong knowledge of web, mobile, API, and cloud-native security, including OWASP guidance.
- Understanding of authentication and authorization technologies (OAuth 2.0, OIDC, JWT, SAML).
- Hands-on DevSecOps experience with CI/CD security automation and infrastructure scanning.
- Practical knowledge of Docker, Kubernetes, and microservices security.
- Experience assessing LLM applications, RAG systems, and AI agents.
- Familiarity with AI threats including prompt injection, data leakage, and supply-chain risks.
- Knowledge of OWASP LLM guidance, MITRE ATLAS, and NIST AI RMF.
- Programming or scripting proficiency in Python, Go, JavaScript, or Bash.
- Strong written and verbal communication skills.
Responsibilities
- Lead Application Security initiatives across web, mobile, API, microservices, and cloud-native products.
- Conduct architecture reviews, threat modeling, secure design and code reviews, and penetration testing.
- Define practical security standards, requirements, and reusable secure engineering patterns.
- Strengthen CI/CD security through SAST, DAST, SCA, secret scanning, and container scanning.
- Lead security reviews and adversarial testing of LLM applications, AI agents, and RAG architectures.
- Conduct adversarial testing for prompt injection, jailbreaking, and sensitive-data disclosure.
- Develop repeatable AI security testing methodologies, playbooks, and automation.
- Communicate security risks effectively to developers, architects, product leaders, and executive stakeholders.
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