Site Reliability Engineer

9 hours ago

Scarborough Village, Ontario, Canada KTek Resourcing Full time

Title : Azure Cloud Engineer

Role : Scarborough, ON

Position: Contract

The overall skills are highlighted above that are a must, and the below shows the day-to-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 Actions
  • 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

Required Skills

  • CDKTF Expertise: Proficient with CDKTF and Terraform for Azure infrastructure
  • Azure AI Services: Hands-on experience with Azure OpenAI, Cognitive Services, and Machine Learning
  • 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
  • Azure Core Services: VNet, Storage, App Services, Key Vault, Application Configuration
  • DevOps: CI/CD pipelines, Azure DevOps, GitHub Actions, Docker
  • Programming: TypeScript / Python skills for infrastructure as code

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