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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