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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Our cutting edge system is built using modern tech stack (Java, Go, Angular, Vue) and deployed in the Cloud (AWS) as a platform to meet Enterprise needs.
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Experience with standup of cloud-based infrastructure and platform services including AWS, Azure, or Google Cloud Platform. 2+ years of experience working with modern AI capabilities in machine learning, including deep learning and natural language processing, and LLM frameworks.
$250,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Experience with provisioning virtual resources and building infrastructures in AWS, Google Cloud, Microsoft Azure, and Digital Ocean commercial clouds. Position Overview Far Ridgeline Engagements LLC (a QinetiQ US Company) is seeking an experienced cloud data engineer/developer to help lead a growing team with a US Department of Defense operations support project developing modern, cloud-based solutions to empower customers to securely store and analyze data.
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Demonstrating a knowledgeable understanding of wireless and mobility products and groundbreaking integrated software solutions to be able to successfully promote and position products including: Cloud, Security, ISP, VoIP and Google platforms.
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Far Ridgeline Engagements LLC (a QinetiQ US Company) is seeking an experienced cloud data engineer/developer to help lead a growing team with a US Department of Defense operations support project developing modern, cloud-based solutions to empower customers to securely store and analyze data.
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Advanced knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud.
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Advanced knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure Client (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud.
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Identifying, developing and qualifying leads within respective territory to drive additional sales opportunities through cold-calling, partner-selling, lead-generation campaigns and modern social selling techniques.
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Part of Google Cloud, Mandiant is a recognized leader in dynamic cyber defense, threat intelligence and incident response services. In this role, you will be responsible for supporting customers by utilizing Mandiant (now part of Google Cloud) Security Validation (MSV), deployment of the platform, and long-term operational use of the solution.
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3+ years of experience with cloud computing platforms such as AWS, Azure, or Google Cloud Platform, including experience with serverless architectures, containers, and orchestration.
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Of experience with cloud computing platforms such as AWS, Azure, or Google Cloud Platform, including experience with serverless architectures, containers, and orchestration. As a Senior Software Engineer, you will play a significant part in leading the rearchitecting efforts of our existing monolithic payment system to a cloud-native architecture, leveraging modern cloud technologies and best practices.
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Experience working with relational and NoSQL databases, as well as cloud-based data storage solutions (e.g., AWS S3, Google Cloud Storage, Azure Blob Storage). or Scala, and experience working with modern web frameworks like React, Angular, or Vue.js.
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