Azure AI & Data Platform Engineer
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Monthly Salary:
Experience Required:
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Job Summary
Total Experience: 68 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.
Required Skills:
Sailpoint
