Azure DevOps Engineer

RESPONSIBILITIES
The project involves building, deploying, and maintaining scalable Azure Cloud infrastructure and CI/CD pipelines to support cloud-native applications. The engineer will automate provisioning, manage application services, and ensure performance, security, and compliance across environments.
- Deploy and manage Azure infrastructure and services, ensuring reliable and streamlined deployments.
- Implement CI/CD workflows using Azure Dev Ops, Git Lab, and Ansible.
- Automate infrastructure provisioning using Infrastructure as Code (IaC) tools like Terraform.
- Configure and manage Azure App Services, Azure Functions, and AKS clusters for scalability and availability.
- Monitor and optimize resource utilization and cost across Azure workloads.
- Manage secrets and configurations via Azure Key Vault and App Configuration.
- Support data workflows in Azure Databricks and Azure ML.
- Implement RBAC, managed identities, and NSGs for secure access.
- Integrate automated testing (unit/integration/load) into CI/CD pipelines.
- Configure Azure Monitor for observability and proactive incident management.
- Troubleshoot production issues, including containerized workloads in AKS.
- Collaborate with development and data science teams to co-create and deploy solutions, automate infrastructure, and enforce best practices.
- Document deployment processes, architecture decisions, and operational runbooks.

REQUIREMENTS
- Azure Cloud

Infrastructure: Expertise in provisioning, scaling, and managing Azure services and workloads.
- Python:
Strong hands-on experience automating infrastructure and workflows through scripting.
- Ansible:
Proficient in configuration management and automation scripting for deployments.
- Terraform:
Skilled in Infrastructure as Code practices for Azure resource automation.
- CI/CD (Azure Dev Ops / Git Lab):
Ability to design and maintain continuous integration and deployment pipelines.
- Azure Functions, App Services, AKS:
Experience managing containerized and serverless workloads for scalable applications.
- Monitoring:
Familiar with Azure Monitor, metrics, alerts, and log analytics for operational insights.

- Experience with web app resource on Cloud.