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6+ years of experience working as an Azure Administrator or in a similar role, with hands-on experience managing and troubleshooting Azure resources. Azure certifications, such as Azure Administrator Associate or Azure Solutions Architect, are preferred.
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Certifications:Possess at least one relevant cloud certification (e.g., AWS Certified Solutions Architect, Microsoft Certified: Azure Administrator Associate). Experience with CI/CD tools such as Jenkins, GitLab, GitHub Actions, or Azure DevOps. Experience with logging and monitoring products such as Splunk and Datadog.
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Hands-on experience with Source Code repositories and CI/CD pipeline solutions like Team Foundation Server/Azure DevOps, Bitbucket, and GitHub. Manage Source Code repositories and CI/CD pipelines using tools such as Team Foundation Server/Azure DevOps, Bitbucket, and GitHub to automate build, test, and deployment processes.
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Cloud Platforms: Azure Databricks, Google Cloud Platform (GCP) (Google cloud search, Vertex AI, Generative AI) Data Management: Azure Data Lake, BigQuery Data Pipelines: Azure Data Factory (ADF.
$195,500 a yearFull-timeExpandUpdated 3 days ago - UpvoteDownvoteShare Job
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The successful candidate will automate and streamline operations, support development teams in integrating products into Azure DevOps, and implement and manage CI/CD pipelines using Jenkins, GitLab CI, and Azure DevOps. Responsibilities: Cloud Computing: Experience with one or more major cloud platforms like Azure or AWS.Version Control Systems (VCS): Experience with Git version control providers like GitHub, GitLab, or Bitbucket.
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The Sr Desktop Virtualization Engineer will lead a team of engineers to design, implement, and deploy virtual desktop capabilities in the Azure Cloud. Experience developing and deploying Infrastructure as Code (IaC), utilizing continuous integration / continuous deployment (CI/CD) tools, and leveraging automation platforms such as Ansible or Azure Functions.
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Research, design, develop and maintain enterprise system for our Leidos clients using the Adobe LMS/Moodle, SQL, API and Azure in an Agile software development environment. Familiarity with LMS API integration and Azure Cloud configuration.
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LMS API & Azure Cloud Configuration: Work with LMS APIs for integrations and customizations. Configure and manage Azure Cloud services related to the LMS for scalability, security, and performance.
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CERTIFITCATION REQUIREMENTS At least one of the following must be active: CISSP (Certified Information Systems Security Professional), Cloud Security Certifications (such as CCSP, Microsoft Azure Security Engineer Associate), Vendor Certifications, PMP (Project Management Professional), CSM (Certified ScrumMaster), PMI-ACP (Agile Certified Practitioner.
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Spark, the Spark ecosystem, and related tools like Databricks and Azure Synapse Notebooks. Microsoft Azure, particularly Azure Synapse Analytics, Azure Data Factory and/or Azure Data Pipeline.
$140,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience in Terraform and/or Ansible and/or Azure Gov cloud / AWS CloudFormation IaC tools. Intermediate knowledge of Azure DevOps configuration and Management, Azure Security Center, and Azure Identity Management.
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Senior Integration DeveloperJob DescriptionUnder the guidance / direction / supervision of the TEBS Chief Technology Officer, the Contractor will:1) Design and develop County MFA, Identity and Access management using Microsoft Azure AD.The ideal candidate should be able to migrate the existing system to the new proposed system.
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One of the certifications (Associate /Professional level) AWS Solution Architect / SysOps / DevOps Engineer or Microsoft Azure or Google Cloud. The Cloud Solutions Architect will be part of Digital Financial S ervices team and bring demonstrated experience with architecture, design and engineering of technology modernization, cloud adoption, DevSecOps and digital solutions development using AWS or Azure or, Google cloud platforms.
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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.
$224,600 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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In addition, the candidate should have a strong understanding and experience with the integrated machine learning environments provided in Azure, AWS and GCP, along with emerging experience with Generative AI ML technical architectures that include pre-trained LLM and diffusion models such as LLaMA, ChatGPT, Gemini, Stability AI and Claude as well as Vector Databases and orchestration tools such as LangChain.
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