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 BI, .NET 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

📌 Azure DevOps Engineer - Mexico (Ciudad de México)
🏢 Papigen
📍 Ciudad de México