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 MIGA Guarantees 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

Senior Azure / DevOps Engineer

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