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Deep understanding of cloud computing principles, including virtualization, containerization, microservices, and serverless computing; Risk Management, RHCOS security, container security, Kubernetes security, IAM security, network security, auditing, encryption, secrets management and data protection, securing CI/CD.
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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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The candidate will be a staff scientist within the ICES Group of the Advanced Computing Methods for Physical Sciences Section in CSED. ICES is focused on the conduct of world-class research and development in Earth system modeling; model-data integration, large scale data management, analytics and machine learning; and model benchmarking at DOE’s Leadership Computing Facilities (LCFs) and its National Energy Research Scientific Computing Center (NERSC.
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4+ years of experience with building, operating, and maintaining compliant cloud computing environments in Amazon Web Services, Microsoft Azure, or Google Cloud Platform. As a cloud computing infrastructure architect, you know how to take advantage of cloud capabilities.
$84,600 - $193,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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KEY QUALIFICATIONS: Python, SQL Data processing, ML experience Data Warehouse knowledge ETL pipeline knowledge Data Engineering Data Science Data Analytics, Data Mining PLEASE HAVE KNOWLEDGE OF ONE OR MORE OF THE FOLLOWING TECHNICAL SKILLS: Kubernetes, Tableau, PowerBi MongoDB Microsoft Cloud Services like Azure and AKS Snowflake SQL Server data platform Software development (including design, implementation, testing, and change management.
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Experience with cloud computing platforms (, AWS, Azure, GCP) and cloud native computingProficiency in programming languages like Python, Java, Scala, C#, SQLExpertise in big data technologies such as Hadoop, Spark, Kafka, and NoSQL databasesKnowledge of data modeling, ETL processes, and data warehousing conceptsExceptional problem-solving abilities and teamwork skills.
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You will be working closely with our Cloud Architect, Solution Architects, Systems Engineers, Software Engineers, and Operations Engineering/Manager as well as Government counterparts to perform and manage our cloud solution, cloud computing strategy and all associated documentation.
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As a Cloud Engineer, you will be responsible for technical duties such as infrastructure design, creation, maintenance, and support associated with cloud computing. The Leidos has an exciting opening for you, as a Cloud Engineer, to play a critical role with design, engineering, development, deployment, and use of software for the DOMEX Technology Platform (DTP) where we support our client’s mission to centralize and standardize Tasking, Collection, Processing, Exploitation and Dissemination (TCPED) of Open Source Intelligence (OSINT) across the DoD and IC enterprise.
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IaC coding scripting (CDK/Cloud formation preferred) As a Cloud Engineer, you will collaborate with our engineering and infrastructure teams to identify and implement the most optimal cloud-based solutions for the program.
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Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more.
$82,000 - $92,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Cloud One is an existing global, interconnected, virtualized, hybrid, and IT infrastructure hosting mission systems, applications, services, and data serves the U.S. Air Force (USAF) and other Government Customers.
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As a patent agent within this practice, you will likely deal with a broad spectrum of complex software and computer engineering applications (cryptography, block-chain, artificial intelligence (AI), enterprise and mobile applications, databases, web and cloud services, operating systems, software user interfaces, open source, 3D graphics, grid computing, networking, telecommunications, network protocols, IEEE standards, network security, etc.
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3+ years solid development experience in R, R packages, RStudio, RStudio Connect, RStudio Package Manager, Python, SQL, Web & Cloud Technologies 2+ years of experience with AWS services supporting data science and analytics (EC2, S3, RDS, Lambda, Sagemaker, Glue) 2+ years of relevant working experience in an analytical role involving data extraction, analysis, and communication of findings 2+ years of experience in building and maintaining CI/CD tooling (Jenkins, Bitbucket Pipelines, GitHub.
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TDD, CI/CD, Distributed Computing, Linux Stack, MLOps, Machine Learning Operations, HPC, High Performance Computing, AWS, GCP, Cloud, Trading, Financial, Remote, Work From Home, Chicago Recruiters, Information Technology Jobs, IT Jobs, Chicago RecruitingLooking to hire for similar positions in Chicago, IL or in other cities.
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You will be a key member of the team, where the rubber meets the road, doing work that matters for some of the U.S. Government’s most critical missions, and utilizing the latest technologies in Cloud Computing, AI/ML, and DevSecOps.
$95,500 - $210,100 a yearFull-timeExpandApply NowActive JobUpdated Today
underwriting manager data science cloud computing jobs Company: Capital One
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