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
47 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
Required Skills:
47 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
This is a remote position. Azure Specialist OverviewWe 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 Azur...
This is a remote position.
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
47 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
Required Skills:
47 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