Collaboration with data scientists to design, implement, and manage cloud infrastructure and services for end-to-end delivery of data science use cases
Uses Azure automation and orchestration tools such as Azure Resource Manager (ARM), Azure CLI, and Azure Developer CLI to automate deployments including development and maintenance of Infrastructure-as-a-Code deployment scripts
Development of full-stack applications that allow users to interact with AI models, enhancing user experience and functionality
Provide and set up access management to applications using Azure security features such as Azure Active Directory, Identity and Access management, Application registrations, and Service principals
Management of containerization technologies like Docker and Kubernetes in Azure, facilitation of the deployment, scaling, and management of applications
Strong understanding of Azure Cloud platform architecture, services and features
Experience with development and deployment of Infrastructure-as-a-Code using Terraform and/or Bicep
Scripting skills in languages like PowerShell and Python
Proficiency in Azure networking concepts, virtual networks, subnets, load balancers, traffic management and API gateways and their management
Experience with front-end development framework
Experience with containerization technologies like Docker and Kubernetes in Azure
Self-motivated and committed, well organized, diligent, highly results oriented