Azure Cloud Engineer

1 week ago

India CAI (Computer Aid, Inc.) Full time ₹ 12,00,000 - ₹ 36,00,000 per year

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 – 8111.

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