Design and architect enterprise-scale cloud-native platforms using Golang, Kubernetes, AWS/EKS, and distributed systems. Build Kubernetes Operators, Controllers, and CRDs while implementing resilient, scalable microservices architectures. Integrate Agentic AI, RAG, MCP, and LLM capabilities with cloud-native platforms. Apply Docker, Helm, GitOps, observability, infrastructure automation, and production troubleshooting practices. Experience with multi-cluster Kubernetes, Istio, Kafka, Terraform, and ArgoCD is preferred.

Design and implement enterprise data architectures supporting batch and real-time analytics, streaming pipelines, data warehouses, lakehouses, and generative AI applications. Build hands-on ETL/ELT solutions using Python and SQL, with Treasure Data/CDP, Kafka, Snowflake, Databricks, cloud services, CDC, and Debezium. Develop AI-ready pipelines, semantic search, RAG and vector-search infrastructure, and integrate enterprise data with modern AI platforms. This remote contract requires production-grade architecture experience rather than traditional ETL or BI maintenance alone.