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Cloud Engineer

2 weeks ago

Delhi, Delhi, India beBeeCloud Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Cloud Engineer Position

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We are seeking a skilled Cloud Engineer to join our team. The ideal candidate will have extensive experience in cloud computing, specifically with AWS and Azure.

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Main Responsibilities:

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  • ">
  • Cloud Management: Design, deploy, and manage cloud resources on Azure and AWS, including virtual machines (VMs), virtual networks, and serverless services.">
  • AI/ML Operations: Develop and maintain automated machine learning pipelines, data processing tools, and model deployment strategies using services like AWS SageMaker and Azure Machine Learning.">
  • Replication and Migration: Plan and execute the replication of serverless resources and architectures from AWS to Azure, ensuring best practices and seamless transitions.">
  • Containerization: Utilize Docker and Kubernetes (EKS for AWS, AKS for Azure) to manage and scale AI models in a containerized environment.">
  • Infrastructure as Code (IaC): Create and maintain IaC using Terraform to provision and manage Azure resources.">
  • CICD: Develop and manage CI/CD pipelines in Azure DevOps for automated deployments and release strategies.">
  • Messaging and Events: Manage messaging and event-driven architectures using Azure Service Bus, Event Grid, and Event Hubs.">
  • Database Administration: Administer Azure Databases (SQL, Cosmos DB, etc.) and optimize their performance.">
  • API Management: Develop, maintain, and manage APIs with Azure Functions, Logic Apps, and Azure API Management.">
  • System Administration: Administer web servers like Apache and Nginx.">
  • Troubleshooting: Diagnose and resolve issues related to cloud resources, network connectivity, and application performance.">
  • Collaboration: Work closely with development, operations, and architecture teams to ensure seamless integration and operational excellence.">
  • Security: Implement security best practices, including setting up Single Sign-On (SSO) using Azure Active Directory and managing data in Azure Blob Storage.">
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Required Skills and Qualifications:

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  • ">
  • Cloud Platforms: In-depth experience with AWS and Azure, particularly with AI/ML services.">
  • Containerization: 3+ years of hands-on experience with Docker and Kubernetes (EKS and AKS).">
  • IaC: Expert-level proficiency with Terraform for resource provisioning in Azure environments.">
  • Serverless: Strong expertise in Azure Serverless services (Azure Functions, Logic Apps, Event Grid).">
  • CICD: Advanced skills in Azure DevOps, including build and release automation.">
  • Replication/Migration: Proven experience in replicating and migrating resources between cloud environments (specifically AWS to Azure).">
  • Networking: Deep knowledge of designing and managing Azure Virtual Machines and Virtual Networks.">
  • Databases: Experience administering Azure Databases like SQL and Cosmos DB.">
  • Web Servers: 3+ years of hands-on experience with Apache and Nginx.">
  • APIs: Proficiency in managing APIs with Azure API Management.">
  • Storage: Experience with Azure Blob Storage for data management.">
  • Other: Knowledge of Azure OpenAI for developing intelligent applications and expertise with Azure Notification Hubs is a plus.">
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