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    Cloud Engineer - Arlington, United States - Insight Global

    Insight Global background
    Description
    50HR
    100% onsite in Arlington, TX
    Must work on w2

    • Must be eligible for DoD Security Clearance
    • Bachelor's degree in technical field such as Computer Science, Computer Engineering, Software Engineering
    • 7+ years of hands on experience in a specific technology practice (Infrastructure, Network, Storage, Servers, Security, Windows, Linux, etc.) for both on premise and cloud resources
    • 5+ years networking experience
    • 2+ years operating system (Windows, Linux, or similar) administration and operation experience
    • 2+ years virtualization (VMware, HyperV, VirtualBox, or similar) experience
    • 2+ years experience with high order software languages such as C, C++, Java, Python
    • 2+ years experience in container management technologies like OpenShift, AKS, EKS, Rancher, Docker
    • Experience using a source code repository such as Git, BitBucket, Mercurial, or Subversion
    • Experience using a defect management system such as Jira, Bugzilla or Fogbugz
    • Experience with Agile development methodologies
    • Experience briefing technical topics to various audiences
    Plusses

    • Excellent written and verbal communication skills
    • Well refined troubleshooting skills, ability to determine the root cause of a problem and identify and resolve systemic problems.
    • Ability to read, analyze, and interpret professional journals, technical procedures, or governmental regulations.
    • Ability to write reports, business correspondence, and procedure manuals.
    • Ability to apply principles of logical or scientific thinking to a wide range of intellectual and practical problems.
    • Experience using and deploying RDMS, NoSQL, or Graph databases
    • Experience working with service-based architectures and Web APIs
    • Experience with HTML, HTML5, CSS, XML, XSLT, and JSON.
    Day-to-Day

    • Support the development of and recommend improvements to open architectures and applications, infrastructure, and cloud platforms to ensure they are best suited for Cloud deployment and consumption.
    • Support the adoption of Cloud best practices and supporting technologies to enable such capabilities as DevSecOps, Big Data/Analytics, AI, Micro-Services.
    • Support the architecture, design, development, troubleshoot, and implementation of cloud
    #J-18808-Ljbffr

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