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Experience with the SDLC lifecycle & knowledge of relevant tools(Including but not limited to Azure DevOps, Jenkins, git, GitHub, Gitlab, Atlassian products). Hands on experience with Amazon Web Services, Google Cloud Platform, or Azure; namely choosing platform components and assembling application and runtime architecture.
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Experience with Agile software development practices, including SAFe, Scrum, Azure DevOps, Peer Review, GitHub, and CI/CD. This resource should have experience in Oracle HCM Cloud advanced tools such as OIC, HCM Extracts, Fast Formula, HDL, BI Publisher reports, OTBI reports, Redwood Page Composer, Page Configurator, REST APIs, SOAP, Webservices, Fast Formula, Oracle HCM Application Security.
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Responsible for data engineering functions including, but not limited to data extract, transformation, loading, integration in support of modern cloud computing platforms like Azure and Databricks.
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Strong experience in CI tools Jenkins/Azure DevOps or equivalent, Jenkins shared library development is a must. Experience on DevOps tools chain like GitHub, Jenkins, SonarQube, blaze meter and Deployment Tools, Terraform and chef.
$150ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Manager is looking for a mid-level to senior DevOps engineer with demonstrated experience working with Azure DevOps to build/deploy cloud services on Azure. Experience building Azure DevOps pipelines with YAML.
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Experience with Git, Azure DevOps and Agile methodologies Strong customer engagement skills. Programming - JSON, Angular,.net core, C#, Python, VS Code Database - SQL, MS Azure Blob Storage, MS Synapse, OSI PI Historian Cloud IoT Azure IoT Hub, AWS IoT Core and related cloud services.
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CICD - Azure Devops, Azure Purview, Azure functions, Logic apps, Azure Data Explorer, Azure Databricks, HDInsight, Data lake storage, azure stream analytics, Azure Repos.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Experience with CI/CD pipelines such as Jenkins, Azure DevOps, Bitbucket Pipelines, or GitHub Actions. Preparation of CI/CD pipelines using Azure DevOps and Bitbucket. The position drives Azure cloud adoption, process automation and software delivery automation by building and managing a DevOps pipeline that delivers significant business value and enables developers to become more efficient in delivering quality software to production in short development cycles.
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Azure Advanced Networking Azure Virtual Networks ExpressRoute Site to Site VPN NSG App Service Environment ASG UDR. AZ-103: Microsoft Azure Administrator. AZ-104: Microsoft Azure Administrator.
$35 - $55 an hourFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Experience with Azure DevOps pipelines/tools (e.g. ADO GIT, ADO pipelines, Boards, Build & Package tools) Hands-on experience architecting, automating, maintaining, and securing Cloud Computing Platforms (AWS/Azure.
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AI and Machine Learning, Azure Blobs, Office 365, Dynamic 365, Logic apps, Power apps, MS Flow, Power BI, Sharepoint o GitHub DevOps, CI/CD, workflows, actions and Ansible automations Skills Required : o Cloud solutions, design, architecture and security o Evaluating hardware.
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The Cloud Cyber Security Analyst (Data Protection/DevOps) is responsible for providing services in support of data protection controls as part of the data protection monitoring services component of Elevance Health’s various programs that operate both on premises and in various cloud platforms.
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Deploy, configure, secure, and monitor various Azure services using Terraform, Ansible, and Azure DevOps pipelines. Comfortable using Azure DevOps (ADO), GitHub (Actions), TFS (Team Foundation Server.
$150Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Exp w/ 2 or more of the following: Azure Cloud, Azure Data Factory, Azure Functions, Azure Storage Blob, Azure DevOps. Ability to develop using Microsoft Azure products (e.g. Data Factory, Functions, Databricks, Monitor, etc.
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Experience developing and deploying Machine Learning solutions on cloud platforms (e.g., AWS, Azure, or GCP). As a Senior Machine Learning Engineer, you will work on building AI/ML solutions across a wide range of business applications.
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azure devops jobs Title: senior analyst in Houston, TX
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