Role & Responsibilities :

Cloud Platform Engineering :

- Design, build, and operate large-scale, cloud-native infrastructure across AWS and GCP - owning platform reliability, security posture, and cost efficiency.

- Implement and maintain infrastructure-as-code across both cloud platforms using Terraform and native tooling - enforcing standards, modularity, and drift detection.

- Build and maintain CI/CD pipelines, GitOps workflows, and deployment automation for cloud infrastructure and platform services.

- Engineer landing zones, account vending, and governance guardrails on AWS (Control Tower, SCPs) and GCP (Resource Manager, Org Policies).

AI Orchestration :

- High Level understanding of LangChain, LlamaIndex, CrewAI - agentic workflow design, multi-agent orchestration, tool calling, human-in-the-loop workflows.

- Design and implement cloud networking - AWS VPC, Transit Gateway, Direct Connect and GCP VPC, Shared VPC, Cloud Interconnect - for hybrid and multi-cloud connectivity.

- Implement security controls across IAM, network policy, encryption, secrets management, and audit logging on both platforms.

- Drive platform observability - metrics, logging, distributed tracing, and alerting using CloudWatch, GCP Operations Suite, and third-party tooling.

- Perform capacity planning, cost analysis, and right-sizing to maintain efficient cloud spend across AWS and GCP estates.

LLM & AI Tooling :

- High Level Understanding of OpenAI, Anthropic Claude, Google Gemini - prompt engineering, RAG architecture, vector databases (Pinecone, Weaviate, ChromaDB), LLMOps.

Application & Container Platform Engineering :

- Engineer and operate Kubernetes-based container platforms - EKS on AWS and GKE on GCP - including cluster lifecycle, node management, networking, and security hardening.