Azure Cloud Engineer
3 days ago
Azure Cloud Engineer
Req number:
R6510
Employment type:
Full time
Worksite flexibility:
HybridWho 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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