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Job Title
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.
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