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We are particularly interested in candidates in the areas of Artificial Intelligence (including Machine Learning, Natural Language Processing, Computer Vision, and Knowledge Engineering), Data Mining and Analytics, Cybersecurity, Human Centered Computing (including Information Visualization, Human Computer Interaction, Social Computing, Pervasive & Ubiquitous Computing), Network Science, Cloud Computing, and Information System Design.
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Advanced knowledge operating in a Product Delivery Model and experience in cloud native architectures leveraging CI/CD, API frameworks, Cloud, Data Lakes, Containers, Azure DevOps, etc. Broad knowledge of Microsoft Azure cloud or similar cloud technologies including experience with Software as a Service (SaaS), building, and managing common platforms (e.g., Service Now, Pega, Share point Online, Salesforce, etc.
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Solutions architecture and hands-on engineering/full-stack development of scalable and secure distributed systems using modern software technologies and programming, Cloud Native and microservices architecture, containerization, and API-First design patterns.
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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 3+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service. Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment.
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Internet of Things (IoT), artificial intelligence (AI), quantum computing) as it applies to cybersecurity and create white papers, as requested. Develop draft guidance and policy surrounding the implementation virtual and cloud environments.
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Cloud Certification (e.g., AWS SysOps Administrator, Azure Administrator). Strong and relevant experience in cloud technologies, cloud services, IaC, cloud storage, cloud networking and cloud security.
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Our team will manage the commercial cloud migration and disestablishment of VSD and CIS, fully automate the continuous development & continuous integration environment, fourth estate consolidation, professionalize services – ITIL/DevSecOps based processes, improve the customer experience 1st call resolution, and achieve development of a service catalog for Defense Working Capital Fund (DWCF) Model.
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This role will focus on leading the automation and components (Solr, HBase) set up and improvement for Cloudera CDP public cloud and integrate with other AWS services. Cloudera Data Platform Private Cloud and Public Cloud), Apache Solr as SME, automation tools (ex.
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Design, deploy, and manage scalable cloud infrastructure solutions on Azure and Google Cloud Platform (GCP) using Terraform. Develop and maintain IaC scripts and templates to automate the provisioning and management of cloud resources and SIEM configurations.
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We serve both government and commercial sectors, offering a range of solutions such as Healthcare IT, Human Services, Identity Credentialing, Cloud Computing, and Big Data Analytics. With clients in the US and abroad, we hold key contract vehicles including GSA IT Schedule 70, NIH CIO-SP3, GSA Alliant, and DHS-Eagle II.
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At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. At IBM, we specialize in providing agile software engineering, user experience design, cloud services, and digital strategy services that address government's most pressing missions.
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Serve as a technical expert on several enterprise-wide projects that include reviewing and analysing/documenting/recommending improvements to the County's existing Cisco MPLS routed network and architecture (“FiberNet 3”), a County-wide DWDM replacement project, and an Enterprise Hardware Refresh project.
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Comp Sci degree, Azure DevOps (ADO), Microsoft Azure Cloud. Desired - Prior experience working with Microsoft Dynamics, Tanzu Application Service (TAS)/Pivotal Cloud Foundry (PCF), Azure Kubernetes Service (AKS) and Backbase platforms.
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Hands-on experience using IaC software tools (CloudFormation, Terraform, Azure Resource Manager, GCP Cloud Deployment Manager etc) and CI/CD tools (IDEs, GitLab, GitHuB, Jenkins, CircleCI, etc.
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The Cloud Data Engineer will design future-state, modern data architecture for transformation at the enterprise level using advanced cloud architectural principles. Using tools such as Snowflake and/or Databricks, they will also work with cutting-edge DevOps technologies, develop advanced analytics products, and apply data and statistical programming tools to enterprise data to advance and enable key mission outcomes within cloud environments (Google Cloud Platform, AWS, Azure.
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cloud computing jobs Title: architecture in Vienna, VA
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