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Experience with CI/CD, a fundamental concept in Azure DevOps, and familiarity with cloud platforms like Microsoft Azure, Amazon Web Services, or Google Cloud Platform. Our clientele includes industry giants like Microsoft, Google, Johnson & Johnson, Fannie Mae, Walmart, PayPal, T-Mobile, McDonald's, CVS, Verizon, Charter, Nike, Dell, Wells Fargo, Capital One, and Charles Schwab , among many others.
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We are working on challenging projects, migrating ETL jobs from Talend to DataBricks, building workflow automation solutions using Microsoft Power Platform, data flows with Azure data lake storage and DevOps environment set up.
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Specializes in leveraging Microsoft Azure services, including Azure Cognitive Search and Azure OpenAI, to create sophisticated chat interfaces that allow users to interact with their own data in natural language, expertise in Terraform, Infrastructure as Code, Python, PyTorch, and experience in web applications involving Large Language Models (LLM.
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Experience with SWCM tools (Microsoft Azure DevOps Server (ADS) - Git, BitBucket, IBM Rational Team Concert (RTC), and/or IBM Rational ClearCase, Synergy, Jenkins, Artifactory. Additionally, SWCM is responsible for administration and user access for Change and Configuration Management toolsets (i.e. Atlassian Jira, Microsoft Azure DevOps Server (ADS), Git, etc.
$96,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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SWCM Tool administration / manage all access to tool applications (i.e. Microsoft Azure DevOps Server (ADS), Git, BitBucket, JIRA, Confluence. SWCM Tool administration / manage all access to tool applications (i.e. Microsoft Azure DevOps Server (ADS), Git, BitBucket, JIRA, Confluence.
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Using tools such as SQL, DataBricks, Talend, Python, Microsoft Power Platform and Azure Data Factory. Cloud Computing – Use the full range of Microsoft Azure Services with exposure to machine learning.
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And Microsoft technologies (AADC, GPO, Azure, Azure MFA, O365, Exchange, Mail Relay, Sites and Services, Extended attributes, etc.) Familiarity with Microsoft technologies (AADC, GPO, Azure, Azure MFA, O365, Exchange, Mail Relay, Sites and Services, Extended attributes, etc.
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Advanced knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud.
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P Position Summary Hands-on Working knowledge of Azure-native technology stack like Azure AD, Defender for cloud (CSPM) & Identity, PIM, Conditional Access, Defender for Identity, AIP, Azure Log Analytics, Azure Monitoring, Azure Key Vault, Hands-on Working knowledge of Microsoft 365 security suite (Defender for Endpoint, Information Protection, Purview, DLP, EOP, Intune (MDM/MAM) and Defender for cloud Apps.
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Microsoft Azure certifications such as Azure Administrator Associate or Azure Solutions Architect Expert are highly preferred. Implement infrastructure as code (IaC) using tools such as Azure Resource Manager (ARM) templates, PowerShell DSC, or Azure Automation to automate deployment and configuration tasks.
$90,000 - $166,000 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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8+ years building, deploying, and supporting mission critical IaC cloud first infrastructures (Microsoft Azure Cloud, Microsoft Government Cloud preferred) Expert-level cloud engineer, with hands-on management of production and non-production cloud-based software solutions running on Microsoft Azure ( Microsoft Government Cloud preferred.
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Microsoft enterprise cloud technologies such as Dynamics 365 CRM, Office 365, Microsoft Azure. Develop and Configure applications on Microsoft Dynamics 365, experience with D365 Project Operations & Customer Service is a plus.
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AZURE Engineer Responsible for the implementation and management of applications and infrastructure on Microsoft Azure. Training / Experience Desired or Required Azure Administrator or Azure Engineer certification is preferred.
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Having ML-related certifications can be a plus, such as Microsoft Certified: Azure AI Engineer Associate or Databricks ML Engineer. Proficiency in Azure cloud services, including AzureML, Azure DevOps, Azure Kubernetes Service (AKS), Azure Databricks, and other relevant Azure services.
$135,000 - $140,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Exceptional Microsoft SQL Server design and development skills Service Development: RESTful APIs, Microservices, ASP.Net Core, Azure API Management, Azure API Apps Data: Microsoft SQL Server, Azure SQL, Entity Framework/CosmosDB, MongoDB (nice to have) Strong JavaScript framework experience with React.
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