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Knowledge of cloud computing architectures, cloud governance and risk management, business continuity, infrastructure security, virtualization and containers, incident response, application security, data security and 631 encryption, and identity and access management.
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AWS Graviton powered instances provide the best price performance and support a wide range of computing workloads including application servers, microservices, high-performance computing (HPC), CPU-based machine learning (ML) inference, video encoding, electronic design automation, gaming, open-source databases, and in-memory caches.
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Tasks will include leveraging cloud computing and in house data center technologies focused on providing HPC and AI/ML pipelines for Geospatial information processing infrastructure for the Enterprise.
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This opportunity is a great fit for an experienced Big Data Engineer who enjoys working on large-scale computing and transforming large datasets leveraging AWS distributed systems. GFT Data Services team is the data engineering team within Corp FP&A. On our team, we enjoy a unique vantage point into everything happening within Amazon.
$240,500 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Cloud Computing: Proficient in cloud platforms like AWS, Azure, Databricks, and GCP. Agile Work Environment: Ability to work effectively within an agile team setting. Technical Proficiency: Expertise in Python, machine learning tools (Hadoop, TensorFlow, Apache Spark), and deep learning frameworks.
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The Department of Information Sciences and Technology (IST) has 44 full-time faculty members with research foci in cybersecurity, data mining and machine learning, natural language processing, human-centered computing, and computing and engineering education.
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Experience with distributed computing, such as Apache Spark and/or Databricks. Experience with distributed computing, such as Apache Spark and/or Databricks. Ownership and responsibility for end-to-end design and development, testing, release of key components data lake solution using DataBricks.
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Preferred: •Familiarity with the Department of Defense (DoD) Cloud Computing Security Requirements Guide and Risk Management Framework. Working knowledge of the information technologies such as: UNIX, LINUX, Windows Servers, heterogeneous network environments, virtualized hardware environments, web servers, cloud computing, automation scripting, proxy server, Active Directory, SAML, SSL, SSO, Java EE and.
$233,800 a yearFull-timeRemoteExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka. Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka.
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Possess computing environment training or certification in any of the following: Windows Server, Red Hat, NetApp, VMware, Broadcom, and/or Cisco or other networking platforms. In this position you will work with a team that provides computing capabilities and in-depth support for our clients and users.
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PsiQuantum is uniquely positioned to deliver on the promise of quantum computing years earlier than our competitors. We believe quantum computing will change everything. Our architecture is based on photonics which gives us the ability to produce our components using existing high-volume semiconductor manufacturing processes, the same processes that are today producing billions of chips for telecom and consumer electronics applications.
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At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain.
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WCOSS provides NOAA the operational High Performance Computing (HPC) resources essential to process sophisticated numerical models used to predict and understand atmospheric and oceanic phenomena for weather and climate operational use.
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Knowledge of cloud computing architectures, cloud governance and risk management, business continuity, infrastructure security, virtualization and containers, incident response, application security, data security and encryption, and identity and access management.
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IDT is seeking a Senior IT Engineer that will design, deploy, and maintain Linux and Windows based computing systems intended to support virtualized testing of Naval tactical systems such as Aegis, SSDS, E-2D Hawkeye, etc.
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computing job in Springfield, VA
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