Azure Specialist

Overview

We are seeking an Azure Specialist to design, implement, and support cloud-based solutions that power AI-driven applications, data platforms, and client-facing systems. This role will focus on building and optimizing solutions within Microsoft Azure, while supporting integrations with AWS, Tableau, Power BI, and DealCloud CRM.

This is a hands-on role ideal for someone with strong Azure experience and a background in cloud infrastructure, data platforms, and modern application architectures.

Key Responsibilities

• Design, deploy, and manage Azure-based infrastructure and services
• Build and support environments for AI/ML workloads, data pipelines, and analytics platforms
• Implement scalable, secure, and highly available cloud solutions in Azure
• Support integrations between Azure services and:
  • AWS environments (multi-cloud)
  • BI tools (Tableau, Power BI)
  • CRM platforms (DealCloud)
• Develop and maintain infrastructure as code (IaC) using tools such as ARM templates, Bicep, or Terraform
• Monitor and optimize systems for performance, cost, and reliability
• Implement and manage security controls, including identity (Azure AD), access, and encryption
• Support CI/CD pipelines and DevOps practices for deployment automation
• Troubleshoot and resolve issues across Azure infrastructure and applications
• Collaborate with engineering, data, and architecture teams to align with best practices and standards

Requirements

Required Qualifications

• 4–7 years of experience working with Microsoft Azure
• Strong hands-on experience with core Azure services such as:
  • Virtual Machines, Storage Accounts
  • Azure SQL, Cosmos DB
  • Azure Functions, App Services
  • Virtual Networks, Azure Active Directory
• Experience supporting data platforms, ETL/ELT pipelines, or analytics workloads
• Experience with infrastructure as code (ARM, Bicep, Terraform, or similar)
• Familiarity with CI/CD tools and DevOps practices (e.g., Azure DevOps, GitHub Actions)
• Strong understanding of cloud networking, security, and architecture principles
• Experience troubleshooting and supporting production cloud environments

Key Traits for Success

• Strong technical troubleshooting and problem-solving skills
• Ability to work independently and collaboratively
• Proactive mindset focused on optimization and improvement
• Adaptability in a fast-paced, AI-driven environment
• Strong communication across technical teams