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Very good understanding on different Dell Boomi offerings elements including Integration Master Data Hub API Management Flow Data Catalog Preparation and EDI B2B Management. Development ,Deployment Hyper care on Dell Boomi Integration platforms Cloud On Premise.
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4-5 years of demonstrated hands-on experience in designing and configuring secure and scalable cloud platform patterns on Azure. Certified IT Architect (CITA), Certified Enterprise Architect (CEA), Microsoft Cloud Platform and Infrastructure (MCSE), or AWS Certified Solutions Architect – Professional.
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Certifications related to cloud technologies, such as AWS Certified Solutions Architect, Azure Solutions Architect, or Google Cloud Certified Professional Cloud Architect. Certifications such as CCNP, CCIE, or equivalent with a focus on Cisco NX-OS and IOS-XE.
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Multi-cloud experience is preferred, with emphasis on implementing Microsoft Azure enterprise solutions. Experience implementing and supporting Microsoft Azure infrastructure and topologies (Operations Management Suite, Application Insights, Azure App Services, Azure SQL Databases, Azure Site Recovery, Azure Backup, Security Center, Azure Networking, Azure Storage, Azure Automation.
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Experience with leading technologies and platforms, such as Salesforce, MuleSoft, Kafka, Python, Java, Tableau, AI/ML, AWS/GCP, Oracle, Snowflake, and other Cloud Platforms/Systems.
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Hands-on with ML data platforms (e.g., AWS Sagemaker, Azure ML Studio, Google Cloud Vertex AI) Experience with implementing ML solutions with two, or more, cloud frameworks (e.g., AWS Sagemaker, Azure ML Studio, Google Cloud Vertex AI.
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Deep knowledge and hands-on development and architect level experience with any major Content Management solutions like Adobe Experience Manager (AEM) (strongly preferred) or Sitecore.
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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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Estimate credit losses on the collateral using existing valuation models, rating agency models, and summarize output for management/client presentation. Responsibilities include working on various stages of advisory projects analyzing and stratifying loan pools, including various asset classes such is Prime Jumbo, Qualified Mortgage (QM), Non-QM, and HELOCs, and determining appropriate modeling assumptions to run pricing analytics.
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Solid understanding of cloud security (AWS, Azure, GCP) and container security (Docker, Kubernetes). McKesson is a global leader in healthcare supply chain management solutions, retail pharmacy, community oncology and specialty care, and healthcare information technology.
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Minimum of 10 years of experience in designing, architecting and delivering in any one of the following Cloud Contact Center platforms: such as Genesys, Amazon Connect, NICE, Twilio, Avaya, Cisco etc.
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The candidate will be responsible for designing a ReactJS based web app which will be deployed in a cloud environment, preferably AWS. This application will be used by frontline Sales teams as well as other Operations teams and is expected to run on Desktop/Laptop as well as Mobile devices like iPad and Phone.
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Solid understanding of cloud technologies with hands-on experience in Azure and GCP. Over 8 years of experience in DevOps or related roles with a strong background in Infrastructure as Code, preferably Terraform, Azure Resource Manager (ARM) or equivalents like Google Cloud Deployment Manager, and AWS CloudFormation.
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Your work requires familiarity with many security areas including governance, architecture, vulnerability management, cloud security, product security, network security, intrusion detection, dev operations, data centers, IAM, enterprise security, incident response, and other critical areas of information security.
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Looking for a Sr AWS Cloud Engineer who is a thought leader to assist in a large-sale migration to AWS and GCP. You will play a key role in migrating and transforming legacy solutions to the cloud.
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