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

Preferred candidate profile

Perks and advantages

📌 Aws Administrator (Bengaluru)
🏢 Anlage Infotech
📍 Bengaluru