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The University of Cambridge's Information Services seeks a hands-on Tech Lead and Engineering Manager to lead a team building and modernising cloud-native services and modernising existing
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University of California, San Francisco | San Francisco, California | United States | about 2 months ago
. The Business Systems Analyst serves as a key member of the IT Functional Team, providing analytical, technical, and operational support for Oracle Cloud and boundary systems. The incumbent partners with campus
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governance and emerging technologies. You will champion the responsible adoption of technologies such as AI, cloud, advanced analytics and immersive technologies, while embedding digital inclusion, ethical
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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); NoSQL (memcache, Redis, Elasticsearch) Integrate interfaces with existing backend APIs and databases such as Cloud: Serverless; Microservices; AWS or Azure Contribute to and apply software engineering
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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
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. Patrick Eriksson. For an overview of the research articles produced by the team, see https://orcid.org/0000-0002-8475-0479 An introduction to the datasets offered, so far, is found here: https://clouds-and
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packages. Maintain high software engineering standards through rigorous testing, version control, clear documentation, and continuous improvement of development infrastructure (e.g., CI/CD, Docker, cloud
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associated with the emerging wave of Internet-connected things that are based on the physical environment. https://coe.northeastern.edu/academics-experiential-learning/academic-departments/mgen
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to the UBDC research community. You will also act as a key liaison with infrastructure providers, helping researchers make optimal use of high-performance computing resources, including cloud platforms and