358 azure English-speaking jobs in Munich

IDOC, RFC).Experience with cloud solutions (SaaS, PaaS), knowledge of SAP operations in the Microsoft Azure

Experience with cloud services and storage, including GCP, AWS, and Azure.

game Knowledge of version control systems (e.g., Git) Familiarity with a cloud infrastructure service (Azure

Integration Suite, and exposure to SAP Business Technology Platform is advantageous as well as knowledge of Azure

implementing robust code testing Experience with CI/CD pipelines is considered as an asset Proficiency in Azure

Office, MS Project, Visio, etc.) and experience with Agile development and the use of tools such as Azure

Experience with NoSQL Databases such as MongoDB Hands-on experience with Docker and cloud platforms (AWS, Azure

development.Technologies: Proficiency in Python, Java (and/or Golang), and Spring; expertise in AWS, Azure

Strong understanding of RESTful APIs, microservices, and cloud platforms (AWS, Azure, GCP).

relational databases (MySQL).You have professional experience working with a cloud-based environment (AWS or Azure

write and maintain high-quality code, develop infrastructure for deploying AI models on platforms like Azure

years of experience as a security architect.You have certifications in the area of Security like CCSP, Azure

processes like build automation for complex projects across different technologies - .Net, SharePoint, Azure

advantageSolid knowledge in one or more areas of cloud computing architecture (preferably in Microsoft Azure ... ), .NET/ASP.NET Core, C#, Azure DevOps Pipelines and/or Appian are a plusProvable track record of successful

and analyzing security events.Familiarity with cloud-native monitoring tools (e.g., AWS CloudTrail, Azure ... security and application security, with experience securing both on-premises and cloud environments.AWS or Azure

Experience with any cloud governance tools like Collibra, Alation, Azure Purview, Atlan, Apache Atlas

deep learning frameworks (PyTorch).Familiarity with cloud-based ML infrastructure (e.g., AWS, GCP, or Azure

deep learning frameworks (PyTorch).Familiarity with cloud-based ML infrastructure (e.g., AWS, GCP, or Azure

Operation of Azure streaming. Video-directing of live and hybrid events.

Proficiency in Azure or similar container technologies is an asset.