AI Platform Security Engineer

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Skills you'll use

What you'll do

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

Who can apply

• Improve platform security through continuous testing, automation, and monitoring
• 1–4 years of software engineering or security engineering experience
• Strong understanding of Python and JavaScript/TypeScript
• Experience working with Linux, Docker, and Kubernetes
• Good understanding of common web application vulnerabilities (OWASP Top 10)
• Familiarity with authentication, APIs, networking, and secure software development
• Strong debugging and problem-solving skills
• Experience with SAST, DAST, container security, or vulnerability scanning

Perks & benefits

About Fluid AI

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