AI Platform Security Engineer

AI Platform Security Engineer (Remote) – India

We are seeking a Security Engineer to join our team and play a pivotal role in securing our enterprise-grade Agentic AI Platform. This hands-on engineering position requires expertise across the entire technology stack, including Python services, JavaScript/TypeScript applications, Kubernetes, Docker containers, autonomous AI agents, APIs, databases, CI/CD pipelines, and cloud infrastructure. Your responsibilities will involve identifying, investigating, and remediating security vulnerabilities before they reach production.

Key Responsibilities:

• Conduct security reviews of Python, JavaScript/TypeScript, and infrastructure code to ensure secure-by-default design.
• Secure autonomous AI agents, workflows, and tool integrations against attack vectors like injection, privilege escalation, and data leaks.
• Harden Kubernetes clusters, Docker containers, and deployment infrastructure using best practices for least-privilege access, RBAC, and network policies.
• Implement secure authentication, authorization, and secrets management systems.
• Integrate automated security checks into CI/CD pipelines to enforce security compliance.
• Analyze dependencies and remediate vulnerable packages to prevent supply-chain risks.
• Conduct threat modeling for new platform features and AI capabilities.
• Improve platform security through continuous testing, automation, and real-time monitoring.

Required Skills:

• 1–4 years of Software Engineering or Security Engineering experience.
• Strong proficiency in Python and JavaScript/TypeScript.
• Experience with Linux, Docker, and Kubernetes.
• Deep understanding of OWASP Top 10 and common web application vulnerabilities.
• Knowledge of authentication, APIs, networking, and secure software development practices.
• Problem-solving skills for debugging and troubleshooting security issues.

Preferred Skills:

• Experience with SAST, DAST, container security, or vulnerability scanning.
• Familiarity with Kubernetes security, RBAC, network policies, and admission controllers.
• Knowledge of OpenTelemetry or security monitoring tools.
• Experience with cloud platforms (AWS, Azure, GCP).
• Experience securing LLMs, MCP servers, autonomous agents, or AI applications.
• Exposure to penetration testing or Capture the Flag (CTF) competitions.
• Contributions to open-source security projects or bug bounty programs.

Why Join Us?

• Work on cutting-edge enterprise AI and Agentic AI platforms.
• Solve complex security challenges across applications, cloud infrastructure, containers, and distributed systems.
• Collaborate with experienced teams on modern technologies like Kubernetes, cloud platforms, and AI systems.
• Shape the security architecture of next-generation enterprise AI solutions.