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Devlats Pvt Ltd
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DevOps Engineer - Cloud Services

DevOps Engineer - Cloud Services

Devlats Pvt Ltd

3 years

0 Lacs

itanagar arunachal pradesh india

Posted:1 week ago| Platform:

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Skills Required

devops ai aws azure ml support learning model management design networks data processing deployment strategies sagemaker replication migration containerization docker kubernetes code terraform messaging service grid database sql api logic apache troubleshooting resolve network collaboration development architecture integration security provisioning networking storage openai

Work Mode

Remote

Job Type

Full Time

Job Description

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.

(ref:hirist.tech)

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