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Drive the development of a comprehensive generative AI SDK, integrating Large Language Models like OpenAI and Google AI with popular programming languages such as Python, Java, c# etc., using platforms like AWS Bedrock or Azure Semantic Kernel or Google’s Vertex AI.Own and drive extensive technical efforts across multiple teams, ensuring projects are executed seamlessly and meet high standards.
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Proficient in modern development practices in Azure DevOps including CI/CD setup & code quality checks. 3+ years of relevant experience working with Azure PaaS resources such as Azure Service Bus, Azure App Service, Azure Functions, CosmosDB, Azure SQL, Azure APIM, and Azure Notification Hub.
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Microsoft Certified: Azure Administrator Associate. Designs, develops, tests, deploys, and maintains an Azure cloud based infrastructure supporting a prototype Electronic Security System (ESS) being developed by the project team.
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Experience with one or more Cloud platforms; Microsoft Azure, Amazon Web Service (AWS), Amazon Elastic Kubernetes (EKS), RedHat OpenShift platform as it relates to performance monitoring. Experience with one or more Cloud platforms; Microsoft Azure, Amazon Web Service (AWS), Amazon Elastic Kubernetes (EKS), RedHat OpenShift platform as it relates to performance monitoring.
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Integrate automated tests into CI/CD pipelines using tools like Jenkins, GitLab CI/CD, or Azure DevOps, and collaborate with DevOps teams to ensure automated testing is part of the development workflow.
ExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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Meets Department of Defense Cyber Security Workforce (CSWF) requirements for Information Assurance Management (IAM) Level II. Support Service (eMASS), Xacta, Assured Compliance Assessment Solution (ACAS) and may be required to hold an Interim Security Control Assessor qualification.
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Experience in implementing continuous integration/continuous deployment (CI/CD) pipelines for apps using tools like Jenkins, GitLab CI/CD, or Azure DevOps. Experience in cloud platforms (e.g., AWS, Azure, Google Cloud) and infrastructure as code (IaC) tools for managing app infrastructure and deployments.
ExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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Highly proficiency with Microsoft Visio and/or other modeling tools, as well as Azure Dev Ops (ADO) Six Sigma Green Belt Certification preferred. Strong understanding & experience with Salesforce Sales Cloud and Configure Price Quote (CPQ.
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NET, MS SQL Server 2019 enterprise server, TFS (Team Foundation Server) and Azure DevOps. This includes code development, unit testing, source code management, build management, integration testing, and deployment.
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Manage and optimize the flow of value through the ART using tools like Miro, Azure DevOps (ADO), Dependency Charts, Program Boards, and the Program Kanban. The Product & Technology Group (PTG) at Blackbaud is seeking a strategic, forward-thinking, and experienced Scaled Agile Framework (SAFe) Release Train Engineer (RTE) with additional expertise and experience in people management.
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Proficiency in CI/CD pipeline setup and maintenance using tools like Jenkins, GitLab CI/CD, or Azure DevOps, with a focus on app build, test, and deployment automation. Implement and manage cloud-based solutions (e.g., AWS, Azure, Private Cloud) for app hosting, data storage, and backend services, ensuring scalability, reliability, and cost efficiency.
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The position requires a minimum of a Bachelor's degree in Computer Science, Information Technology, or a related field, and 5 years' experience in the job offered or any related occupation, to include, 5 years' experience in a data engineering role; and 5 years' experience working with cloud-based PaaS platforms, including Azure; and 5 years' experience utilizing RDMS tools and languages.
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Cloud platform expertise (GCP, AWS, Azure) must have. Investigate escalated security alerts and threat hunting leads across a variety of technologies (SIEM, EDR, email security, etc) for both on-prem and cloud environments, collaborating closely with Tier 1 SOC and with Threat Management team.
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3 years data engineering experience on the Microsoft Azure, AWS, GCP and/or Snowflake platforms. 3 years data engineering experience on the Microsoft Azure, AWS, GCP and/or Snowflake platforms.
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Fluency in DevOps Concepts, Cloud Architecture and Azure DevOps Operational Framework. Utilize programming languages like Python, C# or other object-oriented languages, SQL, and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of Azure tools and services.
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