Azure AI & Data Platform Engineer
- Toronto, ON, Canada
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Job details
- Experience
- Total Experience: 6–8 Years
- Posting language
- English
- Posted
Original job description
Role: Azure AI & Data Platform Engineer
Key Skills:Azure virtual functions, OpenAI, Logic Apps, Azure DevOps, TFCDK
Total Experience: 6–8 Years
Required Skill Set
Develop and maintain Infrastructure as Code (IaC) using CDKTF for Azure AI, data, and database workloads.
Build reusable CDKTF constructs and modules for standardized AI and data infrastructure patterns.
Implement automated CI/CD pipelines for IaC using Azure DevOps or GitHub Actions.
Manage version control, branching, and deployment workflows for infrastructure code.
Provision and configure Azure OpenAI Service, including deployment of large language models.
Implement and manage Azure Cognitive Services (Vision, Speech, Language, Decision).
Deploy and maintain Azure Machine Learning Workspaces and implement MLOps pipelines.
Configure and manage Document Intelligence and Azure Cognitive Search solutions.
Design globally distributed Azure Cosmos DB solutions (SQL API, MongoDB API).
Configure Cosmos DB multi-regional replication, partitioning, consistency policies, and performance tuning.
Build and manage Azure Data Factory ETL/ELT pipelines, data flows, triggers, and monitoring.
Deploy and administer Azure SQL Managed Instance and Azure SQL Databases, including HADR.
Implement SQL security features such as TDE, Always Encrypted, and access control.
Design and implement secure Azure infrastructure VNets, subnets, NSGs, private endpoints.
Configure Azure Storage, Key Vault, App Services, and Application Configuration services.
Implement cloud monitoring using Azure Monitor, Log Analytics, and Application Insights.
Manage IAM using Azure AD, RBAC, and managed identities for secure access.
Optimize data modeling for relational and NoSQL architectures.
Apply data governance, compliance, and security best practices across AI and data services.
Use strong TypeScript and Python skills for IaC automation, scripting, and tooling.
More about this job
Responsibilities
The Azure AI and Data Platform Engineer at Astra North Infoteck will build and maintain cloud infrastructure for AI and data systems using code. The engineer will also deploy and run AI services, databases and data pipelines on Azure, and keep them secure and monitored.
Requirements
Candidates need 6 to 8 years of experience with Azure AI and data services, infrastructure as code (CDKTF) and CI/CD on Azure DevOps or GitHub Actions. Strong TypeScript and Python skills are required.
Skills
- CDKTF
- Infrastructure as Code
- Azure OpenAI
- Azure Cognitive Services
- Azure Machine Learning
- MLOps
- Azure Cognitive Search
- Document Intelligence
- Azure Cosmos DB
- Azure Data Factory
- Azure SQL Managed Instance
- Azure DevOps
- GitHub Actions
- Azure Logic Apps
- Azure Functions
- Azure Monitor
- Log Analytics
- Application Insights
- Azure AD
- RBAC
- Managed Identities
- Azure Key Vault
- TypeScript
- Python
- Git
Categories
- Technology
- Software
- Data & Analytics
Keywords
- Azure AI
- Azure Data Platform
- Infrastructure as Code
- CDKTF
- Azure OpenAI
- Azure Machine Learning
- Cognitive Services
- Cosmos DB
- Azure Data Factory
- Azure SQL Managed Instance
- Azure DevOps
- GitHub Actions
- TypeScript
- Python
- MLOps
- Data Engineer
- Cloud Engineer
- DevOps Engineer
- Cloud Infrastructure
- Data Pipelines
Seniority
Senior
Tools
- Azure DevOps
- GitHub Actions
- Azure Cosmos DB
- Azure Data Factory
- Azure SQL Managed Instance
- Azure Logic Apps
- Azure Functions
- Azure Key Vault
- Azure Monitor
- Log Analytics
Languages
- English