DevOps Engineer - Cloud Services

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 :

(ref : hirist.tech)