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-on understanding of network environments, circuit delivery, cloud platforms, and multi-site technology deployments, system integration. · Knowledge of current and emerging IT technologies. · Expertise in data
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 3 months ago
languages like R and Python; experience with STATA; Experience with SQL and/or Google Cloud platforms for compute and storage; and familiarity with version control systems (Git/GitHub) and data visualization
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. Program: http://ischool.berkeley.edu/courses/info Policies and Programs to Support All Employees: https://ofew.berkeley.edu/support-faculty/family-responsive-policies-benefits-programs-and-resources Course
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program. CRA, CFRA, and/or CPRA preferred. Experience No experience required for candidates who possess a Bachelor's or Master's degree in a field of study directly related to the specific position
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, testing, and deploying software packages for edge, desktop, enterprise, and/or cloud computing platforms. Experience with databases including database and/or API design. Proficiency in high-level object
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Services (AWS) or other cloud computing platforms Demonstrated ability to multi-task and work effectively within tight schedules Familiarity with version control systems and continuous integration Preferred
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and leveraging cloud or infrastructure as a service (IaaS) solution. Description of Duties Data Center Management Develops and implements strategic plans for the data center, aligning them with
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on call events on nights and weekends Required Qualifications Educational Requirements Bachelors from an accredited institution of higher education in computer science or related field or an equivalent
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obtained through a Bachelor's degree in Computer Science, Information Technology, or related field; technical certifications in relevant areas (e.g., cloud platforms, MLOps, data engineering) preferred and a
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astronomy. We develop and operate commercial-quality, cloud-based software application and platform services used by 10s of thousands of researchers to manage their large–and growing–data management