Azure Cloud Engineer

Azure Cloud Engineer

Req number:

R6510

Employment type:

Full time

Worksite flexibility:

Hybrid

Who we are

CAI is a global technology services firm with over 8,500 associates worldwide and a yearly revenue of $1 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right—whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise.

Job Summary

We are seeking a Cloud Engineer with AI/ML expertise to design, build, and support intelligent applications using Azure Services, Azure AI Foundry, Docker and Kubernetes services. This is a hands-on role, ideal for candidates passionate about applied AI, automation, and multi-cloud integration. This position will be full-time and hybrid.

Job Description

What You’ll Do

• Design and deploy intelligent applications leveraging Azure Services and Azure AI Foundry.
• Implement and manage Docker and Kubernetes services for scalable and efficient cloud solutions.
• Collaborate with cross-functional teams to integrate AI/ML models and automation into applications.
• Optimize cloud architecture to ensure performance, security, and reliability.
• Support multi-cloud integration initiatives and ensure seamless data flow between platforms.
• Monitor, troubleshoot, and maintain cloud environments to minimize downtime.

What You'll Need

Required:

• Minimum of 5 years of experience in cloud engineering, with a focus on Azure Services and AI/ML.
• Hands-on experience with Azure AI Foundry services, including AI Search, OpenAI, Computer Vision, Custom Vision, Document Intelligence, Translator, and Language Service.
• Hands-on experience with Azure cloud administration tasks (Web Apps, Logic Apps, Blob Storage, SQL, Azure Data Factory, Virtual Machines, API Management, Azure Container Registry).
• Hands-on experience with Docker administration, including Docker Compose and Docker Volumes.
• Hands-on experience with Terraform for Infrastructure as Code (IaC) automation.
• Hands-on experience with Azure DevOps.
• Working knowledge of Linux administration.
• Proficiency in Python scripting.
• Experience in integrating solutions with Microsoft Copilot and open-source AI platforms.
• Ensure performance, scalability, and security of AI applications.
• BCA or BSc (Computer Science) or Master of Computer Application (MCA) or BE (Computer Science).
• Certification on Azure Cloud will be added advantage.
• Certification on Azure AI Fundamentals will be added advantage.

Physical Demands

• This role involves mostly sedentary work, with occasional movement around the office to attend meetings, etc.
• Ability to perform repetitive tasks on a computer, using a mouse, keyboard, and monitor.

Reasonable accommodation statement

If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to or (888) 824 – 8111.