Skills
Python
TypeScript
SQL
NoSQL
Data Engineering
MongoDB
Network Security
GitHub
CI/CD
DevOps
Docker
Monitoring
Version Control
Azure Data Factory
Azure DevOps
Azure Cosmos DB
Azure Synapse Analytics
Networking
Machine Learning
Programming
Databases
Azure
Analytics
OpenAI
Large Language Models
CI/CD Pipelines
Terraform
Infrastructure as Code
GitHub Actions
Job Specifications
Role – Azure Cloud Engineer
Location – Address: 4100 Gordon Baker Rd, Scarborough, ON M1W 3E8
Experience: 10 – 13\
CDKTF Expertise: Proficient with CDKTF and Terraform for Azure infrastructure
1. Azure AI Services: Hands-on experience with Azure OpenAI, Cognitive Services, and Machine Learning
2. Azure Data Services Azure Cosmos DB (SQL API, MongoDB API)
• Azure Data Factory (pipelines, data flows, integration runtime)
• Azure SQL Managed Instance and SQL Database
• Azure Synapse Analytics
4 Azure Core Services: VNet, Storage, App Services, Key Vault, application config
5 DevOps: CI/CD pipelines, Azure DevOps, GitHub Actions, Docker
6 Programming: TypeScript/Python skills for infrastructure as code
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
• Implement automated deployment pipelines for AI and data infrastructure
• Create reusable CDKTF constructs and modules for data and AI service patterns
• Manage version control and CI/CD for infrastructure code using Azure DevOps or GitHub Action
•
• Azure AI Services Implementation Provision and configure Azure AI services including:
• Azure OpenAI Service and large language models
•
• Azure Cognitive Services (Vision, Speech, Language, Decision)
• Azure Machine Learning Workspace and MLOps pipelines
• Document intelligence
• Azure Cognitive Search
•
• Implement MLOps practices for machine learning model deployment and management
• Configure AI service networking, security, and compliance
Data Platform Management
Azure Cosmos DB: Design and implement globally distributed NoSQL databases
• Configure multi-region replication and consistency levels
• Implement partitioning strategies and optimize query performance
• Set up automatic scaling and monitoring
• Azure Data Factory: Build and manage ETL/ELT pipelines
• Design data integration workflows and data movement patterns
• Implement data transformation activities and data flows
• Configure triggers, monitoring, and error handling
• Azure SQL Managed Instance: Deploy and manage enterprise-grade SQL databases
• Configure high availability and disaster recovery
• Implement security features including TDE, Always Encrypted
• Manage performance tuning and maintenance tasks
•
• Cloud Infrastructure Management
• Design and implement secure, scalable Azure infrastructure for data and AI workloads
• Configure virtual networks, private endpoints, and network security groups
• Implement monitoring with Azure Monitor, Log Analytics, and Application Insights
• Manage identity and access management (Azure AD, RBAC, managed identities)
•
• Database & Data Engineering Skills
• Cosmos DB partitioning, indexing, and performance optimization
• Data Factory pipeline design and orchestration
• SQL Managed Instance migration and management
• Data modeling for both relational and NoSQL databases
•
• Data security and compliance implementation
About the Company
Yochana: Your Trusted Workforce Partner Across North America & Beyond
For over 15 years, Yochana has been a leading talent acquisition firm, connecting businesses with top professionals across industries. Headquartered in Farmington Hills, Michigan, we specialize in temporary workforce solutions, permanent placements, contract-to-hire, and recruitment process outsourcing (RPO) across the USA, Canada, Mexico, and India.
At Yochana, we go beyond traditional hiring agencies--our customized recruitment strategies and AI-driven ...
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