Senior Security Engineer - Cloud & AI Platform
Ema (company site, opens in a new tab)5+ yrsBengaluruOn-siteDirect career pageEst. 25–40 LPA
Posted 3h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead security design and threat modeling for AI agent features, focusing on preventing prompt injection, jailbreaks, data exfiltration, and over-privileged tool use.
- Develop and enforce security controls across multi-tenant AI agent workflows, including tenant data isolation, least-privilege principles, human-in-the-loop approvals, and supply chain vetting.
- Establish cloud and platform security baselines (Kubernetes, CI/CD) and contribute to AI-aware detection, compliance frameworks (SOC 2, ISO, HIPAA, NIST AI RMF), and automated adversarial testing.
Minimum Requirements
- Minimum 5+ years of experience in cloud security, application security, or DevSecOps, preferably with GCP or Azure.
- Strong hands-on experience with Kubernetes and cloud security.
- Proficiency in security automation using Infrastructure as Code (Terraform/Helm) and scripting languages (Python or Bash).
- Working knowledge of security risks related to LLM applications and agentic AI systems (e.g., OWASP Top 10 for LLM).
Ideal Candidate Profile
- Security professional with deep expertise in cloud native and AI agentic environments, able to influence engineering teams without formal authority.
- Experienced in designing security models for non-deterministic, dynamic AI systems interacting with sensitive customer data and multiple third-party components.
- Comfortable operating at the intersection of cloud platform security, AI supply chain security, and compliance with enterprise security standards.