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Programmer Analyst II (Multiple Positions) Posting Number req27045 Department Infrastructure Services Department Website Link https://it.arizona.edu/ Location Tucson Campus Address Tucson, AZ USA Position
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Net+, Security+, Linux+, experience with automation tools (e.g. Terraform and Ansible) and container environments (e.g. Kubernetes and Docker). Ivy Tech is committed to supporting the well-being, growth
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science, informatics, cybersecurity, information systems, etc. Possesses an earned master’s degree in any field, AND current I.T.-related certifications (i.e. CompTIA, Linux, Cisco) AND at least 2 years of professional
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engineering with exposure to emerging cloud technologies, Linux environments, containerisation, virtualisation and hardware acceleration techniques. This is an exciting opportunity for talented Software
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% of the job may involve molecular biology research, including preparing DNA samples for sequencing. Qualifications Required: High school diploma Required The employee needs experience with UNIX/Linux computing
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to detail and willingness to learn new computational and laboratory techniques. Preferred Qualifications Familiarity with Python, machine learning, Linux-based computing, molecular biology, or cell culture is
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or similar is therefore required • A substantial fraction of the technical part will be handled on high performance computers and the AI supercomputer GEFION, all operated in a Linux Environment. Documented
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platforms, including public clouds (Azure and AWS), Windows and Linux servers, virtualisation, storage, backup and monitoring services investigate incidents, service requests and technical problems
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to apply Website https://iventajobdata.eu/bestmedia/img/2502621/2003273/cl/147a658ff5227583c5e60… Requirements Specific Requirements Your personal sphere of influence: The Department of Behavioral and
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, or SCADA architectures Experience developing communication protocols for hardware and device interfacing Strong proficiency in Linux environments and modern DevOps practices (TDD, CI/CD, build automation