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Field
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++, and Python. Experience with software design, development, debugging, testing, and maintenance in Linux-based environments. Experience using version control systems such as Git and collaborative
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are offered free of charge. Hiring Range Determined based on qualifications and/or experience. Working Title Infrastructure Architect External Link to Posting https://jobs.uncw.edu/postings/39083 Vacancy Number
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Posting Details Posting Details Posting Number S06956P Position Title Systems Engineer III Functional Title Senior Enterprise Linux Systems Engineer Department Information Technology-Enterprise Tech
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understanding of FC, NFS, and CIFS protocols, as well as NAS and SAN snapshot technologies. - Virtualization & Hardware: Proficiency with VMware vCenter, ESXi and Cisco UCS hardware. - Linux & Automation: Strong
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the provisioning, configuration, and maintenance of Linux cluster nodes (CPU and GPU) and drivers required for hardware functionality and storage connectivity. Hardware Support: Write and follow structured procedure
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Research Infrastructure Specialist who can help the CRC (1) support, develop, and manage existing Linux-based core infrastructure that supports centrally managed research environments, and (2) evaluate
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& Infrastructure: Deep understanding of FC, NFS, and CIFS protocols, as well as NAS and SAN snapshot technologies. - Virtualization & Hardware: Proficiency with VMware vCenter, ESXi and Cisco UCS hardware. - Linux
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experienced professionals, you’ll assist in the development, installation, coordination, and maintenance of enterprise-level Windows, macOS, and Linux environments. You’ll gain hands-on experience supporting
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The University of North Carolina at Charlotte | Charlotte, North Carolina | United States | 15 days ago
members. Minimum Experience / Education: Bachelor's degree and 4+ years of relevant work experience to include 1-3 years of Linux Systems Administration experience; or An equivalent combination of education
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of computational pipelines for TCR prediction. Working with datasets derived from tumor samples and immunological assays. Running analyses on high-performance computing systems using Linux-based environments and