security engineer AI infrastructure

The company provides AI infrastructure supporting production artificial intelligence and machine learning workloads.

• Secure Kubernetes clusters supporting production AI workloads;
• Design workload identity and least-privilege access controls;
• Build policy-as-code guardrails using OPA and Kyverno;
• Implement Kubernetes admission-control policies;
• Strengthen container and pod security across production environments;
• Build runtime detection and protection using Falco;
• Secure AWS IAM integration across Kubernetes workloads;
• Embed security controls into Terraform and infrastructure automation;
• Automate cluster security validation, enforcement, and remediation;
• Partner with Platform and AI Infrastructure Engineers to make secure configurations the default.

• 5+ Years in Kubernetes, Platform Engineering, Cloud Security, DevSecOps, or similar roles;
• Deep Kubernetes production experience;
• Experience with AWS;
• Experience with Terraform;
• Experience with OPA / Kyverno;
• Knowledge of IAM and workload identity;
• Knowledge of container security;
• Strong Linux and cloud-native security fundamentals;
• Nice to have: Falco / runtime security, AWS EKS, Kubernetes RBAC, Pod Security Standards, GitOps / Argo CD, Trivy or similar vulnerability tooling, software supply-chain security, secrets management / Vault, Go or Python automation, GPU-enabled Kubernetes or AI infrastructure experience.

• No conditions specified