This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
We are looking for Azure DevOps & Infrastructure Engineer with strong expertise in Azure cloud technologies, automation, and software development infrastructure to help lead the evolution of our Data Management Platforms team. In this role, you will be a key contributor to the design, implementation, and maintenance of our Data Mesh Platform, built on Azure and Databricks, enabling teams across the organization to develop, deploy, and operate scalable data products reliably and efficiently. You will play a critical role in architecting and optimizing robust CI/CD pipelines, infrastructure automation, and cloud-native solutions, ensuring the platform remains secure, performant, and resilient while leveraging the latest Microsoft and cloud engineering best practices.
Job Responsibility:
Design, build, and maintain CI/CD pipelines for Azure-based data platform services, with a strong focus on Azure Databricks
Automate infrastructure provisioning using Infrastructure-as-Code (Terraform)
Manage and optimize Azure environments, including Databricks, Data Factory, and Data Lake
Develop and maintain scripts and tools to support platform automation
Contribute to standards for security, cost optimization, performance, and code quality
Implement automated deployment, testing, and monitoring to ensure reliable and secure delivery
Collaborate with architects, developers, and cross-functional teams to improve platform reliability and developer experience
Troubleshoot platform and pipeline issues across the data platform
Support deployment processes and operational tasks, including ticket-based requests where required
Requirements:
Bachelor's degree in Information Technology, Computer Science, or related field
3+ years of experience in DevOps, cloud engineering, or software engineering roles
Hands-on experience with Azure cloud services
Practical experience with Azure Databricks in production environments
Strong experience with Git and Terraform
Experience building and maintaining CI/CD pipelines using YAML-based systems
Proficiency in scripting languages such as Python, Bash, or PowerShell
Solid understanding of DevOps and DevSecOps practices
Excellent problem-solving and debugging skills
Excellent spoken and written English
Communication, organizational and analytical skills
Nice to have:
Experience with Azure Data Factory, Data Lake, or similar data platform services
Familiarity with tools such as Dynatrace, SonarCloud, AquaSecurity, or similar
Azure or Databricks certifications
Familiarity with SAFe delivery environments
Experience working with enterprise ITSM tools such as ServiceNow