aws admin

Anlage Infotech (India) P Ltd

Bengaluru

Hybrid

INR 800,000 - 1,400,000

Full time

6 days ago
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Job summary

Anlage Infotech (India) P Ltd is seeking a Cloud Platform Engineer to design, build, and operate large-scale cloud-native infrastructure across AWS and GCP. You will own platform reliability, security posture, and cost efficiency.

Responsibilities include implementing IaC with Terraform, building CI/CD pipelines and GitOps workflows, governing multi-cloud networking, and driving observability and cost optimization across AWS and GCP estates.

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

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