Cyber Security Engineer

Cyber Security Engineer AI-Native SaaS (10+ Years Experience)

Job Summary

We are seeking an experienced Principal Cyber Security Engineer with 10+ years of experience to lead the security strategy for our AI-native SaaS platform. The role involves securing AI infrastructure, databases, API gateways, cloud environments, servers, Kubernetes, and multi-tenant applications, while ensuring compliance with industry security standards.

Key Responsibilities

• Design and implement end-to-end security architecture for AI-native SaaS platforms.
• Secure AI infrastructure, LLMs, AI agents, GPU servers, and model APIs.
• Protect databases (PostgreSQL, Redis, Neo4j, Vector DB) using encryption, RBAC, auditing, and backup security.
• Design secure API Gateway architecture with OAuth 2.0, OIDC, JWT, WAF, mTLS, and rate limiting.
• Secure cloud infrastructure (AWS/Azure/GCP), Kubernetes, Docker, Linux servers, and networking.
• Implement Zero Trust, IAM, PAM, MFA, Secrets Management, and DevSecOps practices.
• Lead vulnerability management, penetration testing, incident response, and SIEM monitoring.
• Ensure compliance with ISO 27001, ISO 42001, SOC 2, GDPR, HIPAA, and OWASP standards.
• Mentor engineering teams and drive security best practices across the organization.

Required Skills

• AI/LLM & Agent Security
• Database Security (PostgreSQL, Redis, Neo4j, Vector DB)
• API Gateway & API Security
• Cloud Security (AWS/Azure/GCP)
• Kubernetes & Docker Security
• Linux & Server Hardening
• Zero Trust, IAM, RBAC, PAM
• DevSecOps, SAST, DAST, Container Security
• SIEM, WAF, IDS/IPS, Vulnerability Management
• SSPM, CSPM, CASB

Experience & Qualifications

• Bachelor's or Master's degree in Computer Science, Cyber Security, or related field.
• 10+ years of experience in Cyber Security, Cloud Security, or Security Architecture.
• Strong experience securing enterprise SaaS and AI platforms.