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The DevOps AWS Cloud Engineer will play a crucial role in designing, implementing, and maintaining the infrastructure and deployment pipelines on the AWS cloud platform.
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We work a lot with PostgreSQL, Apache Kafka, Docker, and Kubernetes, on cloud services provided by Google Cloud Platform. We work a lot with PostgreSQL, Apache Kafka, Docker, and Kubernetes, on cloud services provided by Google Cloud Platform.
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We sell the latest AI technologies from Nvidia, Supermicro, Dell, HP, Microsoft, Google, Cisco, Lenovo, Apple, VMWare, Adobe, APC, IBM, Nutanix, EMC, Pure Storage, Samsung, Intel, Eaton, and all the hottest AI and Green Data Center, Virtualization, Energy Conservation, Cloud, Storage, Security, Wireless, SD Wan, Video, Identification, solar, and battery technologies.
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Experience with the following tools: Hubspot, Ahrefs, Asana, Google Analytics, Google Search Console, FullStory, Confluence, Google Workspace (Docs, Slides, Sheets) Content Marketing Manager - Remote.
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Posses one or more cloud certifications such as AWS Solutions Architect, MS Azure Solutions Architect, GCP Cloud Architect, ISC2 CCSP. 5+ years of knowledge and technical hands-on experience managing/deploying cloud capabilities with one or more cloud environments (AWS, Azure, GCP, OCI.
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The Senior Systems Administrator will support various applications including but not limited to Enterprise Collaboration Platforms (Box, Google workspace, Microsoft Cloud, other SaaS applications), multiple SaaS applications, Splunk, MDM, security, monitoring, logging and reporting tools.
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Strong Networking Fundamentals along with Converged Infra (CI)/Hyper Converged Infa (HCI) Management Certification along with hands-on experience with Amazon Kubernetes Service (AKS), Amazon EKS, Google Kubernetes Engine (GKE), Rancher.
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Hands-on experience designing, building, and maintaining data pipelines using tools such as Azure Data Factory, Apache Kafka, Apache Airflow, AWS Glue, Google Cloud Dataflow, and similar technologies.
$130,000 - $160,000 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Familiarity with cloud platforms (AWS, Azure, Google Cloud) Experience with front-end frameworks (such as React, Angular, or Vue.js) Familiarity with back-end frameworks (such as Django, Ruby on Rails, Express, etc.
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Mastery of Infrastructure as Code (IaC) and configuration management skills and principles utilizing Terraform, AWS Cloud Formation, Ansible, Chef, Puppet, and/or other scripting languages.
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A great start would involve being adept at the art and science of building digital experiences in one of the core stacks (Web, iOS or Android) across NodeJS, Java, Angular, TypeScript, Mobile Native (Swift, Kotlin), automation tools deployed via continuous delivery infrastructure (Jenkins, Concourse) in a cloud-based environment (AWS - Amazon Web Service or Azure.
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Work with AWS big data technologies including EMR, Glue, S3, EKS, Lambda, Athena, RDS. 6+ years’ experience working within the AWS Big Data/Hadoop Ecosystem (EMR, Glue and Athena) Experience with other AWS components like Cloudwatch, EKS, KMS, Lambdas, S3 is a strong plus.
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Ability to work with ArcGIS Desktop tools, ArcGIS Enterprise, and ERDAS ImagineAbility to design and implement enterprise spatial solutionsSubject Matter Expert (SME) for geospatial analysis and applied remote sensingAbility to work with LiDAR, PhoDAR, Volumetric Measurements, InfraRed applications, Digital Surface Motels (DSM), Orthophotography, and Point Cloud Generation.
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Familiarity with SEO tools, including Google Adwords and Keyword Planner, Google Analytics, Google Webmaster Tools, Google Search Console, Semrush, and Buzzsumo, is preferred.
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Proficiency in Google Cloud Platform (GCP) services relevant to machine learning and AI, such as AI Platform, BigQuery, Dataflow, and Tensorflow. Ability to design and implement end-to-end machine learning pipelines for data ingestion, processing, modeling, and deployment.
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google cloud aws deployment jobs in Salt Lake City, UT
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