GCP, Google Kubernetes Engine (GKE), Cloud TPU, GPU Infrastructure, AI Platform Architecture, Kubernetes, TensorFlow, PyTorch, JAX, MLOps, Terraform, GitOps, Distributed Training, AI Infrastructure, Observability, Platform Engineering, Cloud Security, Capacity Planning, Resource Optimization, FinOps. The ideal candidate will possess deep expertise in architecting and deploying Google Kubernetes Engine (GKE) clusters supporting both TPU and GPU workloads for large-scale AI and Machine Learning applications.