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Cloud Infrastructure: Virtual Machines, Azure Database, and storage technologies (Storage Accounts, SQL Server, CosmosDB), Virtual Networks, Azure Site Recovery, Traffic Manager, Azure Automation, ARM Templates, Azure Load balancer, API Gateway and Azure AD.
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Experience with Products/Vendors: Okta, Active Directory (AzureAD/AD), Ping, Azure AD, SailPoint, BeyondTrust, Siteminder. Familiarity with deployments and integration of IAM solutions with public cloud providers (Azure, AWS, Google Cloud.
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Minimum of 5 to 7 years of hands-onexperience in a DevOps/SRE/CloudOps role in AWS/GCP/Azure with a strong focus onmanaged Kubernetes. CAST AI is the leading Kubernetes cost optimization platform for AWS, GCP and Azure customers.
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We are looking for a Sr. Manager, IAM Product Management, who will guide the IAM Product team in defining product landscape & capability matrix. Sr. Manager, IAM Product Management. As a leader, you will help develop detailed product requirements & lifecycle maps, drive product POCs, and guide engineering delivery by working with cross-functional teams within Enterprise Technology.
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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.
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Relevant platforms include but are not limited to Amazon Web Services (AWS), Microsoft Azure, Google Cloud, Apigee, Simon, Oracle Cloud, Salesforce, Red Hat and Oracle Enterprise Linux (OEL) Applications and Servers, WebLogic / WebSphere Application Server / Java containers, Oracle Database, Microsoft Windows Applications and Servers, Cache servers, Search engines (Endeca or equivalent), and Repository (SVN / GIT.
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Strong experience with Azure cloud technologies and cloud data engineering tools and services. MSFT Certifications: Azure Solutions Architect, Azure Administrator Associate, Azure AI Engineer Associate, Azure Data Engineer Associate, Azure Data Scientist Associate.
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Experience with cloud-based investigations, including Amazon AWS and Microsoft Azure. Experience with forensic tooling (AXIOM, FTK, Arsenal Recon, Zimmerman Tools, X-Ways, Ghidra, IDA, Volatility, etc.
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You will be using the following software Tools: V7.4, Eclipse, Visual Studio, Azure DevOps, MDCMS, Git, and Microsoft Office applications including Visio, RDi, X Analysis, Hawkeye, and CheckMarx.
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Three (3) or more years of experience working with one of the cloud computing environments such as AWS, Azure, Google Cloud, required. The Manager, Valuation & Capital Market Analysis – Complex Financial Instruments – MLOps will be a member of the Data Science/MLOps team that builds Model and related infrastructure to speed up the development and deployment of ML and Statistical models at scale and bring game-changing impact to our client’s decisioning.
$120,000 - $160,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Cloud Integration and Continuous Deployment Mastery : Your background should demonstrate experience in CI/CD environments, and cloud expertise is highly desirable, particularly with Azure. Recruitment and Team Building : Serve as the hiring manager, actively shaping and strengthening the team composition.
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2 plus years of experience using the azure performance, logging, and monitoring toolsets for troubleshooting. zure Developer or any other Azure certification. Worked in Operations Role supporting applications on Azure.
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Experience working with Azure DevOps for creating and managing project backlog and release scope. 5+ years of experience in data science with a focus on generative model training, NLP and Azure ML and AI tools.
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Experience with cloud platforms such as Azure, GCP and AWS. Experience with Azure ML and AI tools and platform. The Senior Data Scientist must have experience in generative model training, data sampling techniques and natural language processing (NLP.
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Infrastructure as Code Tools : Ansible, Terraform, Chef, Puppet, AWS CloudFormation, Azure Resource Manager. Cloud platform certifications: Cloud Solution Architect with AWS, Azure or GCP.
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azure job Title: engineering manager Company: Rtx in Orlando, FL
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