Remote Platform Engineer Linux

Global Channel Management

  • Atlanta, Georgia
  • 30+ days ago
  • Remote

    Highlights

    Remote Platform Engineer Linux duties: * Certify multiple hardware platforms and the interrelationship/interoperability of different operating systems and complex environments. * Exceptional work ethic, high sense of urgency, driven, self-motivated, highly accountable with strong initiative and passion.

    Numbers & Facts

    LocationAtlanta, Georgia (
    Remote
    )

    Description

    Remote Platform Engineer Linux needs 5 years experience

    Remote Platform Engineer Linux requires;

    * 5 years- Experience in Information Technology required.

    * 1 year- Experience in IT engineering in an enterprise environment.

    * Bachelor's degree in Computer Information Systems or a related field or equivalent years of experience is required.

    * Equivalent years of experience are defined as 4 years of professional experience.

    * Advanced knowledge of infrastructure technologies including infrastructure services, platform technologies and monitoring tools.

    * Systematic, fact based decision making and problem solving.

    * Strong inter-personal skills and ability to cultivate relationships with all internal/external stakeholders, promoting diversity of perspectives, ideas and cultures.

    * Exceptional work ethic, high sense of urgency, driven, self-motivated, highly accountable with strong initiative and passion.

    * Ability to clearly articulate ideas, problem/solution/business value descriptions that can be understood by a broad audience

    * Organization skills and ability to work on multiple projects and/or assignments simultaneously.

    * COVID vaccine

    Remote Platform Engineer Linux duties:

    * Certify multiple hardware platforms and the interrelationship/interoperability of different operating systems and complex environments.

    * Provide technical leadership and responsibility for the installation and certification of all supporting software and hardware in order to assure a sound deployment basis for production implementations.

    * Developing data architecture to support both the production system, and the backend data science and modeling tools.

    * Recommends/designs structures and tools for systems which meet business needs and takes into account target environment, performance security requirements and existing systems.

    * Must be willing to adjust schedule to perform maintenance and upgrades outside of business hours and be part of an on-call rotation.

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