Data DevOps Engineer

About the Position

We are seeking a skilled Data DevOps Engineer to build and maintain robust CI/CD pipelines, drive automation initiatives, and support the deployment of scalable, reliable infrastructure across cloud and hybrid environments.

Responsibilities

• Build and maintain CI/CD pipelines for applications, ensuring efficient and reliable deployment processes
• Automate existing deployment manifests using Infrastructure as Code (IaC) and configuration management tools
• Integrate GenAI-powered productivity tools, such as Copilot, into daily workflows to enhance automation and efficiency
• Design, deploy, and manage Windows containers in cloud or hybrid environments
• Implement verifications and automated tests within deployment pipelines to ensure successful deployments and environment stability
• Collaborate with engineering teams to identify opportunities for process improvement and automation

Requirements

• 3+ years of experience with Azure DevOps, Machine Learning Engineering, and Microsoft Entra ID
• Proficiency in Python for scripting and automation
• Experience building and maintaining CI/CD pipelines and deployment processes
• Skills in Infrastructure as Code (IaC) and configuration management tools
• Familiarity with Windows container design, deployment, and management in cloud or hybrid environments
• Understanding of automated testing and verification practices within deployment pipelines
• Proficiency in English at a B2+ level

Nice to Have

• Experience with SQL databases, SSIS, SSRS, and data warehousing (DWH) solutions
• Skills in automated Windows OS administration and management

About the Company

[Company description if present]