Found Description
Key Responsibilities
- Define and evolve the end-to-end security architecture for AI systems, data platforms, and cloud-native infrastructure.
- Establish and enforce Zero Trust principles, including identity-first security, mTLS, and fine-grained access control (RBAC, ABAC).
- Design secure patterns for distributed systems, event-driven architectures, and multi-tenant environments.
- Define security standards for Kubernetes-based platforms, including workload isolation, network policies, and runtime protection.
- Establish container and software supply chain security practices, e.g., image scanning, SBOM, signing, and provenance.
- Design secure deployment architectures for both cloud and restricted air-gapped environments.
- Define and implement security controls for LLM-based applications, RAG pipelines, and data platforms.
- Establish safeguards against AI-specific threats such as data poisoning, model extraction, a...