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You will: document, design, develop, and implement cloud computing architecture leveraging IaC tooling to support the global mission of the Technical Sales team to demonstrate the power of the CrowdStrike Falcon platform.
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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 (e.g., AWS, Google Cloud, Azure) and containerization (e.g., Docker). Experience with big data technologies (e.g., Ray, Kubernetes, Hadoop, Spark) and data warehousing solutions (e.g., Google Cloud and BigQuery.
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Senior Network Developer (Hyperscale Network Design)Location: United StatesSupports the design, deployment, and operations of a large-scale global Oracle cloud computing environment (Oracle Cloud Infrastructure - OCI.
$87,000 - $178,200ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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SWCM provides innovative solutions through automation, continuous improvement, and a skilled workforce providing support for all digital computing products: embedded software, firmware/configurable logic, test equipment, simulation, Commercial-Off-The-Shelf (COTS) and tools.
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Job Description The cloud architect is responsible for the cloud computing initiatives within an organization and for directing the architectural aspects of a cloud brokering team across all aspects of IT and the business.
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SF Flow)Design, build, test, debug, and provide documentation for projects/programs associated with Salesforce Marketing Cloud and legacy Pardot. Data Management and Segmentation: Manage and segment customer data within Salesforce Marketing Cloud for precise targeting and personalized messaging.
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We're doing this by leveraging the power of patterns (Anti-Corruption Layering, Strangler fig, Microservices, Event Sourcing, etc) and technologies (Kafka, Solace, Change Data Capture, Node.js, Go, Containerization, PaaS) to build cloud-native solutions for the enterprise based on modern event driven architectures.
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Experience with physical modeling, underwater acoustics, wave propagation, signal processing and/or sonar; detection, localization, tracking and classification algorithms and applications; applied mathematics, machine learning, uncertainty modeling and/or statistics; developing in a Linux environment; high-performance, GPU, or cloud-computing experience.
$88,500 - $120,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Products targets span HPC data centers, consumer electronics, autonomous platforms, AI/cloud solutions, and a variety of embedded/IOT platforms providing a rich and complex target space to exercise your skills.
$216,000 - $414,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Tens of thousands of companies in more than 90 countries around the globe have moved their video surveillance to the cloud with Eagle Eye VMS. Customers, including multi-family residences, smart cities, schools, hospitals, hotels, logistics, restaurants, and retail shops trust Eagle Eye for actionable business intelligence and proactive security across multiple locations.
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Proficiency in SQL and multiple programming languages for building data pipelines including Python, Scala, Spark, and Java. Experience in multi-threaded, concurrent programming and synchronization Cloud technology experience on platforms like AWS, Microsoft Azure, Google Cloud Experience developing Big Data applications using java, Spark, Kafka is a huge plus.
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We're seeking a Sr. Site Reliability Engineer to join our fast-paced Engineering Team. Our ideal candidate is a self-starter with an engineering discipline and mindset ready to take ownership of our cloud systems, reference architectures, deployment processes, and landing zones.
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Azure Data Engineering or Databricks Certification, and expertise with other cloud data platforms (AWS, Snowflake) preferred. - Lead the design and implementation of complex cloud solutions using Microsoft Azure, focusing on integration with Databricks and Azure Data Factory.
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THE PERSON: A computational scientist, physicist, or engineer with experience in multiple scientific computing domains and experience with using Machine Learning techniques in an HPC setting. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded.
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cloud computing jobs Company: Capital One in Texas, TX
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