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Net technologies is highly desired (e.g., Azure Architect, Azure Developer, C Developer, or equivalent). ·Experience:+ years of experience in C, REST+JSON, Azure Function Apps, Azure Service Bus, Azure DevOps. Accredited certification(s) in Azure and.
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Position Summary As a Lead ML/AI Engineer, you will drive the design and implementation of functionality related to the end-to-end ML/AI and Feature lifecycle management on Azure/Google Cloud Platform, leveraging and integrating the cloud native services with other standard operational and automation tools.
$247,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Azure Data Engineer BravoTech a leader in IT staffing and staff augmentation services, seeks an Azure Data Engineer for a hybrid long-term contract for a preferred client based in N. Houston, Texas.
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As an Azure DevOps Engineer, you will be instrumental in building, deploying, and maintaining cloud infrastructure on Microsoft Azure. Relevant certifications such as Microsoft Certified: Azure DevOps Engineer Expert or equivalent are highly desirable.
$165,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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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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Implement and maintain security controls for cloud computing services such as AWS/C2S, Microsoft Azure, Nutanix, and VMware. Proficiency in one or more cloud computing services and technologies, such as AWS/C2S, Microsoft Azure, Nutanix, and VMware.
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Technical Certification in Cloud (e.g., Azure, Amazon Web Services, Google, security certifications). Empower customers in their Microsoft Security adoption journey, helping them to define a Secure strategy, Architecture, and implementation of necessary security controls aligned with Microsoft Azure and M365 E5 Security Services including Identity and Access management, Threat Protection, Cloud Security, Information Protection.
$219,200 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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As Azure DevOps Engineer you will. Expertise with either AWS, Azure, and Services/Tooling such as or like: Terraform, Packer, Docker, Kubernetes, Helm, Prometheus, Grafana, Fluent Bit, Istio (Service Mesh.
$160,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Hands-on experience using IaC software tools (CloudFormation, Terraform, Azure Resource Manager, GCP Cloud Deployment Manager etc) and CI/CD tools (IDEs, GitLab, GitHuB, Jenkins, CircleCI, etc.
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The Staff Software Engineer (Azure) role will be used to develop custom solutions using various code methods for Identity and Entitlement management in the Azure space. A high overall level of familiarity with Microsoft Azure and its relevant build, deployment, automation, networking and security technologies in cloud and hybrid environments.
$160,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Hands-on experience in public and/or private cloud environments, including OpenStack, Kubernetes, Azure, AWS, and GCP. Experience with Azure DevOps Operational Framework and Azure Network (Subscription, Security zoning, etc.
$300,500Full-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Production experience with core data platforms such as SQL Server, Databricks, Azure, Spark, and Hadoop. Collaborate seamlessly across technical stacks, with a strong focus on Databricks, SQL Server, and Azure.
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Understand the design and develop the standard framework modules, high performance services and client libraries for big data using one or more tools from AWS, Azure, Kubernetes, Spark, DBT, Databricks and snowflake, AWS S3, Azure Blob Store.
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As a Senior Data Engineer on the MMA National IT Data and Analytics Team, we will count on you to develop and maintain scalable data pipelines, enhance data models, and provide subject matter expertise in data acquisition and consumption pipelines on Azure, Databricks and Confluent.
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5 years in architecting and implementing cloud-native architectures (AWS, Azure or GCP) that could have involved FAAS/serverless or Containerized workloads, CI/CD pipelines (GitHub Actions, Azure DevOps, AWS CodePipeline, Jenkins etc) and agile methodologies(scaled scrum, SAFe.
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azure job Title: machine learning engineer Company: Advantis Global
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