AI Platform Security Engineer (Remote)

AI Platform Security Engineer (Remote)

Location: Remote (India)

Experience: 1–4 Years

About the Role

We are looking for an AI Platform Security Engineer to help secure our enterprise-grade Agentic AI Platform.

You will work across the entire technology stack—including Python services, JavaScript applications, Kubernetes, Docker containers, autonomous AI agents, APIs, databases, CI/CD pipelines, and cloud infrastructure—to identify, investigate, and remediate security vulnerabilities before they reach production.

This is a hands-on engineering role focused on building secure systems, improving the platform's security posture, and enabling engineering teams to build secure-by-default AI applications.

Key Responsibilities

1. Identify, investigate, and remediate security vulnerabilities across the AI platform.
2. Perform security reviews of Python, JavaScript/TypeScript, and infrastructure code.
3. Secure autonomous AI agents, workflows, and tool integrations against common attack vectors.
4. Harden Kubernetes clusters, Docker containers, and deployment infrastructure.
5. Implement secure authentication, authorization, secrets management, and least-privilege access controls.
6. Build automated security checks into CI/CD pipelines.
7. Perform dependency analysis and remediate vulnerable packages.
8. Conduct threat modeling for new platform features and AI capabilities.
9. Improve platform security through continuous testing, automation, and monitoring.

Required Skills

1. 1–4 years of Software Engineering or Security Engineering experience.
2. Strong knowledge of Python and JavaScript/TypeScript.
3. Experience with Linux, Docker, and Kubernetes.
4. Good understanding of OWASP Top 10 and common web application vulnerabilities.
5. Familiarity with authentication, APIs, networking, and secure software development practices.
6. Strong debugging, troubleshooting, and problem-solving skills.

Preferred Skills

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

What We're Looking For

1. Security-first engineering mindset.
2. Curiosity to understand how complex systems can fail or be exploited.
3. Passion for identifying and resolving security issues before they impact customers.
4. Ability to work across application code, infrastructure, containers, AI systems, and cloud environments.
5. Strong learning mindset with an interest in modern security technologies and AI platforms.

Why Join Us?

1. Work on cutting-edge enterprise AI and Agentic AI platforms.
2. Solve challenging security problems across applications, cloud infrastructure, containers, and distributed systems.
3. Collaborate with experienced engineering teams on modern technologies including Kubernetes, cloud platforms, AI systems, and developer tooling.
4. Opportunity to shape the security architecture of next-generation enterprise AI solutions.