Vacatures 721 tot 730 van 4.347 (ontdubbeld 4.231)
ads
- Volledige vacature bekijken
- Volledige vacature bekijken
- Volledige vacature bekijken
Freelance Technisch applicatiebeheerder
Yacht - Schiedam
basiskennis van container-based infrastructuren zoals Docker ( Kubernetes is een pre). · Ervaring met platformdiensten op het gebied van storage, netwerken en platformservices. · Uitgebreide kennis van de werking van applicaties. Van- Volledige vacature bekijken
Freelance Technisch applicatiebeheerder
Yacht - Hoofddorp
basiskennis van container-based infrastructuren zoals Docker ( Kubernetes is een pre). · Ervaring met platformdiensten op het gebied van storage, netwerken en platformservices. · Uitgebreide kennis van de werking van applicaties. Van- Volledige vacature bekijken
Freelance Technisch applicatiebeheerder
Yacht - Kerkrade
basiskennis van container-based infrastructuren zoals Docker ( Kubernetes is een pre). · Ervaring met platformdiensten op het gebied van storage, netwerken en platformservices. · Uitgebreide kennis van de werking van applicaties. Van- Volledige vacature bekijken
Yacht via Talent - Apeldoorn
Java-webservices-java-script (typescript) en/of python - 3jr Wensen : Redhat Openshift, Kubernetes , Docker Angular 14, Java17, Java Enterprise, Éen dag per week een kantoordag in Apeldoorn. De overige dagen ben je vrij om thuisCloud Infrastructure and Application Engineer
Bright River via Talent - Haarlem
Orchestration : Manage Kubernetes -based clusters for production, staging, and internal environments, ensuring smooth deployments and scaling. Automation : Build and optimize CI/CD pipelines to automate deployment, testing, andCapgemini via Talent - Utrecht
Job Description: Hours: 36 - 40 hours Skills required- Azure API, Azure Data bricks, Azure Data Factory (ADF), Azure Data Lake, data storage, Data platform, AKS-Azure Kubernetes Services. Experience: Experienced professionalVox AI via Talent - Amsterdam
quality and relevance. MLOps & Deployment: Set up CI/CD pipelines and use Docker/ Kubernetes for scalable, reliable model deployment. Leverage AWS SageMaker, Azure ML, or similar platforms to streamline the entire ML lifecycleCapgemini via Talent - Utrecht
Job Description: Hours: 36 - 40 hours Skills required- Azure API, Azure Data bricks, Azure Data Factory (ADF), Azure Data Lake, data storage, Data platform, AKS-Azure Kubernetes Services. Experience: Experienced professionalAbf via Talent - Eindhoven
with front-end and/or back-end systems. You have strong knowledge of C , SQL, and .NET Core. You have solid knowledge of Azure DevOps. You have knowledge of Microservices, Kubernetes and Microsoft Azure. You speak andAbf via Talent - Eindhoven
back-end systems. You have strong knowledge of C , SQL, and .NET Core. You have solid knowledge of Azure DevOps. You have knowledge of Microservices, Kubernetes and Microsoft Azure. You speak and write English fluently. YouAbf via Talent - Rotterdam
with front-end and/or back-end systems. You have strong knowledge of C , SQL, and .NET Core. You have solid knowledge of Azure DevOps. You have knowledge of Microservices, Kubernetes and Microsoft Azure. You speak andABF Motors via Talent - Roosendaal
back-end systems. You have strong knowledge of C , SQL, and .NET Core. You have solid knowledge of Azure DevOps. You have knowledge of Microservices, Kubernetes and Microsoft Azure. You speak and write English fluently. YouAbf via Talent - Roosendaal
with front-end and/or back-end systems. You have strong knowledge of C , SQL, and .NET Core. You have solid knowledge of Azure DevOps. You have knowledge of Microservices, Kubernetes and Microsoft Azure. You speak and