About the position
We are seeking an experienced Senior Azure DevOps Engineer to join on project based Our client is a well-established and diversified business group with a strong presence across multiple industries, a solid reputation in the market, and a long-standing commitment to delivering excellence and innovation. Role Overview We are looking for a hands-on Senior Azure DevOps & Platform Engineer to support the deployment, automation, operation, and optimization of Microsoft Azure–based application and AI solutions. The role will primarily cover Azure DevOps, Azure platform engineering, Infrastructure as Code, monitoring, performance testing, and Microsoft Foundry / Azure AI platform support . Key Responsibilities Azure DevOps & Automation Design and maintain Azure DevOps CI/CD pipelines . Manage repositories, branching, builds, releases, approvals, and environment configurations. Automate deployments across DEV, UAT, Pre-Production, and Production. Develop reusable Infrastructure as Code using Terraform, Bicep/ARM, Azure CLI, and PowerShell . Troubleshoot build, deployment, and release issues. Azure Platform Engineering Provision, configure, secure, and troubleshoot Azure services such as: App Service, Functions, API Management Azure SQL / SQL Managed Instance Storage Accounts and Key Vault Container Registry / Container Apps Application Gateway / Front Door Azure Monitor, Application Insights, and Log Analytics Networking & Security Configure VNets, Subnets, NSGs, Private Endpoints, VNet Integration, and Private DNS. Configure Managed Identities, RBAC, Key Vault, certificates, and secrets. Troubleshoot Azure-side connectivity, DNS, firewall, authentication, and private endpoint issues. Coordinate with infrastructure teams for enterprise network components such as WAN, ExpressRoute, and central firewalls. Monitoring & Performance Configure monitoring, logging, dashboards, alerts, health checks, and auto-scaling. Conduct load, stress, and performance testing using Azure Load Testing, JMeter, or similar tools. Analyze response time, throughput, concurrency, bottlenecks, and Azure resource utilization. Recommend sizing, scaling, and performance improvements. Microsoft Foundry / AI Platform Support Provision and configure Microsoft Foundry / Azure AI Foundry environments. Support Azure OpenAI / Foundry model deployments. Configure Azure AI Search and other Azure AI services. Automate AI platform deployment using Terraform/Bicep and Azure DevOps. The role is not expected to develop AI models, prompts, RAG logic, or agent business logic, but should be able to deploy, secure, monitor, and troubleshoot the AI platform. Required Skills Strong hands-on experience with: Microsoft Azure Azure DevOps and YAML Pipelines Git and CI/CD Terraform and Bicep Azure CLI / PowerShell App Service, Functions, API Management Azure SQL / SQL MI Storage, Key Vault Azure networking and Private Endpoints Azure Monitor and Application Insights Experience 4–7+ years in Azure, DevOps, cloud, or platform engineering. At least 3+ years of hands-on Azure experience . Strong Azure DevOps, IaC, deployment, troubleshooting, and platform administration experience. Exposure to Microsoft Foundry / Azure AI workloads is preferred. This role offers an exciting opportunity to contribute to innovative projects and drive the adoption of DevOps practices within the organization.
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