Aws Administrator

Anlage Infotech (India) P Ltd; Bengaluru; Hybrid; INR 1,200,000 - 1,800,000; Full time

Job summary

Anlage Infotech (India) P Ltd seeks a Cloud Platform Engineer to design, build, and operate cloud-native infrastructure across AWS and GCP, owning reliability, security, and cost efficiency. You will implement infrastructure-as-code, build CI/CD pipelines, and govern multi-cloud environments with landing zones and guardrails.

The role emphasizes platform observability, security controls, and cost analysis, plus experience with Kubernetes platforms (EKS/GKE) and modern AI tooling.

Responsibilities

• 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

Job description

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