Azure Cloud Infrastructure Engineer – AI, CDKTF, DevOps, Data Services
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Job Location:
Monthly Salary:
Posted on:
5 hours ago
Vacancies:
1 Vacancy
Job Summary
Required Skills:
Job Description 1. CDKTF Expertise Proficient with CDKTF and Terraform for Azure infrastructure 2. Azure AI Services Hands-on experience with Azure OpenAI Cognitive Services and Machine Learning 3. Azure Data Services 4. Azure Cosmos DB (SQL API MongoDB API) 5. Azure Data Factory (pipelines data flows integration runtime) 6. Azure SQL Managed Instance and SQL Database 7. Azure Synapse Analytics 8. Programming Strong Type Script Python skills for infrastructure as code 9. Azure Core Services VNet Storage App Services Key Vault application config 10. DevOps CI/CD pipelines Azure DevOps GitHub Actions Docker 11. The overall skills are highlighted above that are a must and the below shows the day-2-day expectations in terms of experience Infrastructure as Code Development Design develop and maintain infrastructure as code using CDKTF for Azure AI services data platforms and database solutions. 12. Implement automated deployment pipelines for AI and data infrastructure 13. Create reusable CDKTF constructs and modules for data and AI service patterns 14. Manage version control and CI/CD for infrastructure code using Azure DevOps or GitHub Action Azure AI Services Implementation and configure Azure AI services including Azure OpenAI Service and large language models Azure Cognitive Services (Vision Speech Language Decision) 15. Azure Machine Learning Workspace and ML Ops pipelines Document intelligence Azure Cognitive Search Implement ML Ops practices for machine learning model deployment and management Configure AI service networking security and compliance Experience Required: 8 years
Company Industry
IT Services and IT Consulting
Key Skills
- Jenkins
- Ruby
- Python
- Active Directory
- Cloud
- PowerShell
- Windows
- AWS
- Linux
- SAN
- Java
- Troubleshoot
- Backup
- Puppet
- hardware
