DevOps Engineer

4 weeks ago

Itanagar, India Devlats Pvt Ltd Full time

DevOps Engineer (AI/ML)
Location : Remote
Experience : 5yrs
*position *
: Contract
We are looking for a skilled DevOps Engineer with extensive experience in both AWS and Azure cloud environments, specifically focused on AI/ML services. The ideal candidate will have hands-on experience in building, deploying, and managing infrastructure to support machine learning pipelines and model deployments at scale.

Responsibilities

  • 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.
  • CI/CD : 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.

Required Skills & Experience

  • 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).
  • CI/CD : 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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