Azure Cloud Engineer

We are seeking an Azure Cloud Engineer to design, implement, and manage cloud infrastructure and services on Microsoft Azure. This role focuses on building secure, scalable, and highly available cloud environments while supporting application teams with cloud architecture, automation, and operational best practices. The engineer will play a key role in migrating workloads to Azure, optimizing cloud performance, and ensuring platform reliability.
Responsibilities:
Design, deploy, and maintain cloud infrastructure using Microsoft Azure services
Configure and manage Azure networking components such as VNets, subnets, NSGs, load balancers, and application gateways
Provision and manage Azure resources using Infrastructure as Code tools such as Terraform, Bicep, or ARM templates
Monitor and maintain Azure environments using Azure Monitor, Log Analytics, and Application Insights
Manage Azure storage solutions including Blob Storage, Files, and Managed Disks
Implement backup, disaster recovery, and high availability solutions
Troubleshoot and resolve infrastructure and platform issues across Azure environments
Perform performance tuning, scaling, and optimization of cloud resources
Automate operational tasks using PowerShell, Bash, or Python
Support cloud migrations and deployment of workloads to Azure

Requirements:
Bachelor's degree in Computer Science, Information Technology, Engineering, or equivalent experience
7 10 years of experience in Infrastructure or Cloud Engineering role
Strong hands-on experience with Microsoft Azure services including computer networking, and storage
Experience with Azure Virtual Machines, VNets, Load Balancers, Azure App Services, and AKS
Experience with Infrastructure as Code tools such as Terraform, Bicep, or ARM templates
Strong knowledge of Azure networking and cloud architecture fundamentals
Experience with scripting and automation using PowerShell, Bash, or Python
Experience with Azure monitoring and troubleshooting tools
Strong communication skills to articulate thought processes and rationale
Must be able to work hybrid, onsite in New York City from Tuesday to Thursday

Desired skills:
Previous experience in the financial services industry
Exposure to AI or Machine Learning concepts