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Posted 5 months ago

Azure AI & Data Platform Engineer

@ Astra North Infoteck Inc.

Toronto, Ontario

6+ years experience
Apply now
SIGNALS

Overview

Astra North Infoteck Inc. is hiring an Azure AI and Data Platform Engineer with 6 to 8 years of experience. The role builds and maintains infrastructure as code with CDKTF for Azure AI, data and database workloads, and runs the CI/CD pipelines behind it. Core work covers Azure OpenAI, Cosmos DB, Azure Data Factory, Azure SQL and secure networking.

Responsibilities:

  • Develop and maintain CDKTF infrastructure as code for Azure AI and data workloads
  • Implement CI/CD pipelines using Azure DevOps or GitHub Actions
  • Deploy Azure OpenAI, Cognitive Services and Azure Machine Learning with MLOps
  • Build and manage Cosmos DB, Azure Data Factory pipelines and Azure SQL databases
  • Secure cloud infrastructure with networking, RBAC and monitoring

Requirements summary:

  • 6 to 8 years of relevant experience
  • Strong CDKTF and infrastructure as code skills
  • Experience with Azure AI and data services
  • Strong TypeScript and Python skills

Tools & skills

Source and dates

Source type not verified · zoho

Employer posting date
2026-06-22
First seen by our source
2026-10-11
Source record updated
2026-10-11

These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.

Job details

SenioritySenior
DepartmentIT
Experience6+ years
Work settingOffice
PositionMostly sitting
Physical demandsphysical low · computer high
LanguagesEnglish

Summary and details written by AI from the posting; the employer’s posting is the authority.

Astra North Infoteck Inc.

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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

  1. Develop and maintain Infrastructure as Code (IaC) using CDKTF for Azure AI, data, and database workloads.

  2. Build reusable CDKTF constructs and modules for standardized AI and data infrastructure patterns.

  3. Implement automated CI/CD pipelines for IaC using Azure DevOps or GitHub Actions.

  4. Manage version control, branching, and deployment workflows for infrastructure code.

  5. Provision and configure Azure OpenAI Service, including deployment of large language models.

  6. Implement and manage Azure Cognitive Services (Vision, Speech, Language, Decision).

  7. Deploy and maintain Azure Machine Learning Workspaces and implement MLOps pipelines.

  8. Configure and manage Document Intelligence and Azure Cognitive Search solutions.

  9. Design globally distributed Azure Cosmos DB solutions (SQL API, MongoDB API).

  10. Configure Cosmos DB multi-regional replication, partitioning, consistency policies, and performance tuning.

  11. Build and manage Azure Data Factory ETL/ELT pipelines, data flows, triggers, and monitoring.

  12. Deploy and administer Azure SQL Managed Instance and Azure SQL Databases, including HADR.

  13. Implement SQL security features such as TDE, Always Encrypted, and access control.

  14. Design and implement secure Azure infrastructure VNets, subnets, NSGs, private endpoints.

  15. Configure Azure Storage, Key Vault, App Services, and Application Configuration services.

  16. Implement cloud monitoring using Azure Monitor, Log Analytics, and Application Insights.

  17. Manage IAM using Azure AD, RBAC, and managed identities for secure access.

  18. Optimize data modeling for relational and NoSQL architectures.

  19. Apply data governance, compliance, and security best practices across AI and data services.

  20. Use strong TypeScript and Python skills for IaC automation, scripting, and tooling.


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