Azure DevOps Engineer Mexico

Role Overview

We are looking for an Azure / DevOps Engineer with 8 years of experience to manage Azure environments automate deployments build and maintain CI/CD pipelines and support production operations for the Data Platform reporting analytics dashboards APIs and applications.

Key Responsibilities

• Design develop and maintain Azure DevOps CI/CD pipelines for data BI API and application components.
• Automate build testing deployment release promotion rollback and post-deployment validation.
• Manage Azure environment configurations deployment settings and release documentation.
• Support Azure Data Lake Databricks Data Factory PostgreSQL Power Core APIs and Angular applications.
• Implement monitoring alerting job monitoring and automated recovery processes.
• Monitor production environments and troubleshoot deployment failures pipeline failures and service incidents.
• Support release planning production readiness incident management and root-cause analysis.
• Apply secure configuration management access controls and approved deployment practices.
• Maintain operational runbooks release notes automation scripts and technical documentation.
• Coordinate with development data engineering BI QA architecture infrastructure and security teams.
• Support SLA compliance scheduled data-load execution and critical production incidents.

Mandatory Skills & Experience

• 8 years of overall IT experience with strong relevant Azure / DevOps experience.
• Hands-on experience with Microsoft Azure and Azure DevOps.
• CI/CD pipeline design implementation and maintenance.
• Deployment automation environment configuration and release management.
• Source control build and release processes and rollback procedures.
• Azure monitoring alerting troubleshooting and production support.
• Incident management root-cause analysis and corrective actions.
• Security-aware deployment practices and configuration management.
• Strong documentation communication and cross-functional coordination.

Preferred Technical Exposure

• Azure Data Lake Storage (ADLS)
• Azure Databricks
• Azure Data Factory (ADF)
• PostgreSQL and related Azure services
• Power BI deployment requirements
• .NET Core APIs and Angular applications
• Automation scripting using PowerShell Bash or Python
• Infrastructure as Code (IaC) such as Terraform or Bicep
• Azure Monitor Log Analytics and Application Insights