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Understanding in cloud computing platform technologies such as AWS, Microsoft Azure, Google, cloud computing environment and cloud security. Solid understanding of networking, TCP/IP, virtualization and cloud/data center architecture.
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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud.
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Advanced technical certifications: AWS Certified Cloud Practitioner, Solutions Architect, Certified Developer, or SysOps Administrator certifications; RHEL RHCSA/RHCE; AWS Certified Data Analytics, DASCA Big Data Engineering and Analytics preferred.
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The AWS Cloud Engineer/System Administrator will lead and work with a team of Tier III system administrators to manage the Army Geospatial Center's (AGC) current and future cloud-based applications, including Platform as a Service (PaaS) and Software as a Service (SaaS) solutions hosted in the GovCloud (cArmy AWS IL4) environment, as well as lead the migration of data and applications.
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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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Experience designing and deploying cloud-native, enterprise-scale machine learning solutions in the AWS Cloud or with another major cloud provider. In this customer facing position, you will architect and implement innovative, AWS Cloud-native ML solutions, providing direct and immediate impact for your customers.
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We integrate off the shelf and new development efforts to sustain and enhance the NMEC architecture and by leveraging cloud-based computing, artificial intelligence (Al), machine learning (ML) and cross-domain transfer systems to provide cutting edge data exploitation, enrichment, triage, and analytics capabilities to Defense and Intelligence Community members.
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Cloud Computing Platforms : Familiarity with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) for AI development, deployment, and scaling.
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2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) Capital One has been a pioneer through our tech journey as the first large bank to go all in on the public cloud, while operating in a complex and highly regulated business environment.
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1 or more professional cloud certifications: AWS Cloud Practitioner, AWS Solution Architect - Associate, AWS Developer - Associate, AWS Security - Specialty, or AWS Solution Architect - Professional.
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As a diverse and dynamic group, our ATG researchers work on cutting-edge projects related to computer science and electrical engineering for audio, video, and cloud technologies, exploring exciting domains such as AI/ML, algorithms, digital signal processing, audio processing, image processing, computer vision, AR/VR, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT.
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Preferred Skills & Qualifications:Cloud certifications such as AWS Certified Solutions Architect - Associate, Microsoft Certified: Azure Fundamentals, or Google Cloud Associate Cloud Engineer are a plus.
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Overall goal of the Team is to develop and support a common Enterprise toolset for all divisions to enable Portfolio Management, resourcing, execution, and reporting with cutting edge technologies like Azure DevOps, AWS Cloud Systems (S3, EC2, RDS etc), AWS Services (Lambda, Glue, S3, Redshift etc), PowerBI, Databricks as well as Market leaders in PPM and Agile tools.
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Primary ResponsibilitiesLead and oversee cutting-edge research projects in quantum communications, quantum sensing, and quantum computing with a direct impact on national security. (Ph. D. degree is preferred) Research experience and experimental background in one or more of the following areas: quantum optics, quantum entanglement, photonics, quantum communications, quantum information science, quantum sensing, and/or quantum computing.
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Demonstrated experience working with, designing for, and deploying to major cloud providers including AWS and Microsoft Azure. At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain.
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cloud computing aws cutting jobs Company: Capital One in Columbia, Missouri
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