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 solid 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 (India)
🏢 Papigen
📍 India