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8 Required Minimum of 8 years of hands-on experience with RPA development, with at least 4 years specifically using Blue Prism. 4 Preferred Experience with Microsoft Azure infrastructure, including troubleshooting.
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Previous experience with cloud infrastructure providers such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform. Hands-on experience with common container and container orchestration solutions, e.g., Docker and Kubernetes.
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Minimum of 8 years of hands-on experience with RPA development, with at least 4 years specifically using Blue Prism. Experience with Microsoft Azure infrastructure, including troubleshooting.
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The Azure Cloud and DevOps Trainer/Developer/Engineer is a versatile role that combines the responsibilities of developing and delivering Azure cloud migration from on-premises systems to Microsoft Azure cloud with High Available/DR capacity and DevOps training programs with the hands-on work of developing and maintaining Gitlab DevOps tools and pipelines.
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Understand and drive to achieve automated Cloud Native Solutions in Google Cloud Platform, Microsoft Azure, and AWS environments. Hands on experience with Kubernetes, OpenShift or similar container orchestration systems.
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Hands-on experience with developing Platforms-as-a-Service applications on either Microsoft Azure or Amazon Web Services. World Class Facility includes on site gyms and cafeterias.
$115,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Minimum of 8 years of hands-on experience with SQL/No-SQL databases. Minimum of 8 years of hands-on experience with RESTful web services. Experience in RESTful web services on Spring platform.
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Knowledge of Windows workstation platforms, Azure AD, Intune/Modern Management, GPO, Microsoft o365, Microsoft Endpoint Configuration Manager (formerly SCCM) Management and migration to Microsoft Azure Active Directory Modern Management from legacy AD domain joined environments, including GPO translation and conversion.
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Must have strong hands-on experience with cloud platforms and tools like Microsoft Fabric, Azure Synapse, Azure Data Factory, and Databricks. The Data Engineer will work with team members on thearchitecture, design, and development of highly scalable data integration and data engineering processes.
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Strong hands-on experience with public and private cloud technologies (AWS, Azure, GCP, HCI, Open stack, etc. Certified AWS Certified Solutions Architect, Google Professional Cloud Architect, or Microsoft Certified: Azure Solutions Architect Expert are preferred certifications.
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Expert level cloud engineer, with hands-on management of production and non-production cloud-based software solutions running on Microsoft Azure. Hands-on automation creation experience with proficiency in PowerShell, Linux/BashShell, Terraform, JSON/YAML.
$110,500 - $190,500 a yearFull-timeExpandApply NowActive JobUpdated 4 months ago - UpvoteDownvoteShare Job
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Hands on experience on platforms - Microsoft Azure/Amazon Web Services. Hands on experience in building Machine Learning and Artificial Intelligence models.
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5 years of experience as a cloud administrator with hands on experience administering Microsoft 365 and Microsoft Power Platform components. Hands on experience administering Microsoft 365 and Microsoft Power Platform component.
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Hands on experience Python scripting. Good knowledge on Exploratory Data Analysis (EDA) On Job Technical support. NLP models, Deep Learning models for image classification.
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5+ years of hands-on experience in building and delivering robust and scalable solutions on platforms such as AWS, Google Cloud Platform, and Microsoft Azure, preferably in a large-scale AI/ML production environment, with AI/ML model engineering experience.
$161,300 - $209,700 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago
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