Essential:

• Active security clearance.
• AWS cloud engineering (compute, networking, IAM, VPC design, storage).
• Infrastructure-as-Code with Terraform (modular design, environment provisioning, compliance).
• Containerisation using Docker and orchestration with Kubernetes/EKS.
• Deploy and operate ML/LLM inference services on AWS (EKS, ECS, API Gateway, Lambda).
• Implement model-aware CI/CD with artifact packaging, versioning, promotion, and registry integration for approvals, traceability, and rollback.
• Monitor AI workloads, including endpoint performance, resource utilization, logging, and model behavior metrics.
• Support advanced deployment strategies such as blue/green, canary, and shadow deployments.
• Enable Responsible AI operations through audit logging, drift monitoring, and performance alerting.
• Ensure secure AI operations with IAM controls, encrypted artifacts/data flows, and LLM guardrails (eg, Bedrock Guardrails).