Technical Specialist

Job Summary

• 10+ years of overall IT experience, with strong hands-on experience in Microsoft Azure cloud/platform engineering, Azure Devops and production support.
• Strong hands-on experience with Azure AI Foundry and Azure OpenAI, including provisioning, configuration, deployment, model endpoints, monitoring and operational troubleshooting.
• Strong experience with Terraform / Infrastructure as Code (IaC), including development, maintenance and troubleshooting of Terraform modules and environment configurations.
• Good working knowledge of GitHub/Git, including source control, branching, pull requests, code reviews and CI/CD deployment workflows.
• Experience with Microsoft Entra ID, SSO, RBAC, service principals and Managed Identity for secure identity and access management.
• Strong understanding of Azure networking, including virtual networks, private endpoints, DNS integration and secure connectivity troubleshooting.
• Experience with core Azure services such as Key Vault, Storage Accounts, monitoring/logging and Azure resource governance.
• Experience supporting production-grade cloud/GenAI platforms, including incident, problem and change management, root-cause analysis, service restoration and operational documentation.
• Exposure to MongoDB Atlas, Managed Redis, Azure Functions and managed PostgreSQL is desirable.
• Experience with ServiceNow, disaster recovery/failover testing and enterprise governance processes is advantageous.
• Knowledge of Prompt Flow, fine-tuning, knowledge bases and agent orchestration would be an added advantage.
• Strong troubleshooting, technical documentation and communication skills, with the ability to work across cloud, security, application and operations teams.

Key Responsibilities

• Operate and support Azure AI Foundry and Azure OpenAI services , Azure Devops across development, test and production environments.
• Provision, configure and maintain GenAI platform infrastructure through Terraform and GitHub-based Infrastructure-as-Code workflows.
• Onboard new AI use cases in line with established governance, security and demand-management processes.
• Monitor and troubleshoot platform availability, service performance, model endpoints, resource configuration and operational dependencies.
• Support Microsoft Entra ID, single sign-on and Managed Identity integration across platform services.
• Work within private-networking controls, including private endpoints and restricted public-network access.
• Plan and execute controlled platform changes, releases and configuration updates with appropriate documentation and traceability.
• Support disaster-recovery testing, failover validation and operational-readiness activities.
• Coordinate with central cloud operations teams for Managed Redis, MongoDB Atlas, Storage Accounts, Key Vault, Azure Functions and managed PostgreSQL dependencies.
• Contribute to incident resolution, root-cause analysis, problem management, knowledge documentation and continuous service improvement.

Skill Requirements

• 10+ years of overall IT experience, with strong hands-on experience in Microsoft Azure cloud/platform engineering, Azure Devops and production support.
• Strong hands-on experience with Azure AI Foundry and Azure OpenAI, including provisioning, configuration, deployment, model endpoints, monitoring and operational troubleshooting.
• Strong experience with Terraform / Infrastructure as Code (IaC), including development, maintenance and troubleshooting of Terraform modules and environment configurations.
• Good working knowledge of GitHub/Git, including source control, branching, pull requests, code reviews and CI/CD deployment workflows.
• Experience with Microsoft Entra ID, SSO, RBAC, service principals and Managed Identity for secure identity and access management.
• Strong understanding of Azure networking, including virtual networks, private endpoints, DNS integration and secure connectivity troubleshooting.
• Experience with core Azure services such as Key Vault, Storage Accounts, monitoring/logging and Azure resource governance.
• Experience supporting production-grade cloud/GenAI platforms, including incident, problem and change management, root-cause analysis, service restoration and operational documentation.
• Exposure to MongoDB Atlas, Managed Redis, Azure Functions and managed PostgreSQL is desirable.
• Experience with ServiceNow, disaster recovery/failover testing and enterprise governance processes is advantageous.
• Knowledge of Prompt Flow, fine-tuning, knowledge bases and agent orchestration would be an added advantage.
• Strong troubleshooting, technical documentation and communication skills, with the ability to work across cloud, security, application and operations teams.

Other Requirements