Azure Devops Engineer - Brazil

Papigen; Brasília; On-site; BRL 180,000 - 280,000; Full time

Job summary

Papigen in Brasília is seeking an Azure / DevOps Engineer with 8+ years of experience to manage Azure environments, automate deployments, and maintain CI/CD pipelines for data, analytics, dashboards, APIs, and applications.

You will design pipelines, automate release management, monitor production, and coordinate with data engineers, BI teams, and security to ensure reliable, scalable services. This role requires strong scripting, IaC, and security-conscious deployment practices.

Qualifications

• 8+ years of IT experience with Azure/DevOps.
• Hands-on experience with Microsoft Azure and Azure DevOps.
• CI/CD pipeline design, implementation, and maintenance.
• Deployment automation and environment configuration.
• Source control, build and release processes, and rollback procedures.
• Azure monitoring, alerting, troubleshooting, and production support.
• Incident management and root-cause analysis.
• Security-conscious deployment practices and proper configuration management.

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 apps.
• Implement monitoring, alerting, job monitoring, and automated recovery processes.
• Monitor production environments and troubleshoot deployment failures and incidents.
• Coordinate with development, data engineering, BI, QA, architecture, infrastructure, and security teams.

Skills

Azure

Azure DevOps

CI/CD pipelines

Deployment automation

Environment configuration

Release management

Monitoring & troubleshooting

Incident management

Security-aware deployment

Documentation & communication

Tools

PowerShell

Bash

Python

Terraform

Terraform / IaC

Azure Monitor

Application Insights

Job description

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