Job Title: Azure Infrastructure Engineer (Azure Platform Specialist)
Location: Singapore
Employment Type: Contract 12 Months
Job Overview
We are looking for a skilled Azure Infrastructure Engineer with strong experience in designing, deploying, and managing solutions on the Microsoft Azure platform. The ideal candidate will have hands-on expertise in key Azure services including API management, data integration, application hosting, and AI services.
Key Responsibilities
- Design, implement, and manage cloud infrastructure solutions on Microsoft Azure
- Work extensively with Azure services such as:
- Azure API Management (APIM)
- Azure Data Factory (ADF)
- Azure Application Gateway
- Azure App Services
- Azure OpenAI / AI Foundry
- Develop and manage secure, scalable, and high-availability cloud architectures
- Configure and maintain CI/CD pipelines for Azure-based deployments
- Monitor system performance, troubleshoot issues, and optimize cloud resources
- Implement security best practices including identity, access management, and network security
- Collaborate with development and DevOps teams for seamless integration
- Maintain documentation for architecture, processes, and deployments
Required Skills & Qualifications
- Strong hands-on experience with Microsoft Azure platform
- Expertise in:
- Azure API Management (APIM)
- Azure Data Factory (ADF)
- Azure Application Gateway
- Azure App Services
- Experience working with Azure OpenAI / AI Foundry or similar AI services
- Good understanding of cloud networking, load balancing, and security concepts
- Experience with Infrastructure as Code (ARM templates, Terraform, or Bicep)
- Familiarity with CI/CD tools (Azure DevOps, GitHub Actions, etc.)
- Strong troubleshooting and analytical skills
Preferred Qualifications
- Microsoft Azure certifications (e.g., AZ-104, AZ-305)
- Experience in DevOps practices and automation
- Knowledge of containerization (Docker, Kubernetes, AKS)
- Exposure to microservices architecture
Soft Skills
- Strong communication and collaboration skills
- Problem-solving mindset
- Ability to work in a fast-paced environment
Nice to Have
- Experience integrating AI solutions into enterprise applications
- Knowledge of data engineering or analytics pipelines
- Familiarity with hybrid cloud environments
