Senior Azure DevOps Engineer

Tech stack:

• Microsoft Azure (App Service, Azure Functions, Storage Accounts, Azure SQL, Key Vault, Azure Container Registry, Monitoring/Diagnostics)

• Infrastructure as Code: Terraform

• CI/CD: Azure DevOps (YAML pipelines, approvals, artefacts, automated deployments)

• Networking & Security: VNets, Subnets, Private Endpoints, Private DNS, NSGs, RBAC, Managed Identities, Service Principals

• (Project context) Web app + Backend API + AI processing components on Azure

Requirements:

• Strong hands-on experience with Azure cloud services, especially: App Service, Functions, Storage, Azure SQL, Key Vault, ACR, monitoring/diagnostics

• Practical, production experience with Terraform managing cloud infrastructure across dev / staging / production environments

• Solid understanding of Azure networking: VNets, subnets, Private Endpoints, Private DNS, NSGs, secure private access patterns

• Experience with Azure DevOps pipelines (YAML), including approvals, artefacts, and automated deployments

• Good understanding of cloud security: Managed Identities, Service Principals, RBAC, Key Vault, secrets management

• Proven troubleshooting skills using logs, monitoring tools, and Azure diagnostics to resolve infrastructure and application issues

Nice to have:

• Experience with Azure Machine Learning infrastructure

• Experience with Azure OpenAI infrastructure

• Experienced in using AI tools in day-to-day workflow

Project description:

The project is a cloud-based platform composed of a web application, a backend API, AI processing components, and Azure infrastructure.

The frontend handles user experience, authentication, and communication with the backend API. The API manages core business logic (e.g., studies, freight data, users, attachments, workflow states). Structured business data is stored in a relational database, while files, images, and AI-generated outputs are stored in cloud storage. AI components analyze images and data (classification, metadata extraction, model/engine evaluation) and run both within backend workflows and in separate batch/experimental pipelines.

The whole system runs on Microsoft Azure and is provisioned via Terraform as Infrastructure as Code, with clear separation between UX, business logic, storage, AI processing, and infrastructure responsibilities.

Main responsibilities:

• Design, build, and maintain Azure infrastructure using Terraform across dev, staging, and production environments

• Own and improve Azure DevOps CI/CD pipelines (YAML), including artefact management, approvals, and automated deployments

• Implement and maintain secure Azure networking (VNets, subnets, Private Endpoints, Private DNS, NSGs) to ensure private access to critical services

• Configure and enforce security best practices across the platform (RBAC, Managed Identities, Service Principals, Key Vault, secrets handling)

• Ensure reliable hosting and operations for platform components (App Service, Functions, Storage, Azure SQL, ACR)

• Monitor platform health and performance; troubleshoot incidents using Azure monitoring, logs, and diagnostics

• Support the AI processing infrastructure needs, including enabling secure and scalable execution for workflows and batch/experimental pipelines (and optionally Azure ML / Azure OpenAI)