35 cloud-computing-"https:" "https:" "https:" "https:" "https:" "https:" "https:" uni jobs in Australia
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’ link below. Please click on the Position Description to know more about the role. https://www.rmit.edu.au/content/dam/rmit/au/en/careers/position-descriptions/pd-cloud-platform-principal-aws26.pdf We
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the role of Solution Architect for the: Digital Preservation Program Salesforce Education Cloud Program of works Developing Application/Integration related Conceptual, Solution, options papers; including any
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, with expertise in both manual and automation testing in Agile and Waterfall environments. Hands-on experience testing Salesforce applications (Service Cloud, Lightning, Classic) across profiles
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 19 hours ago
Science: data mining and statistical analysis, data storage and management, cloud storage and distributed computing, data engineering, data warehousing, data modeling and visualization, data analytics
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to build collaborative relationships. Desirable experience includes cloud or virtualised environments, Oracle and Linux administration, and relevant professional certifications. Role Requirements: As this is
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). Experience with cloud platforms and services, particularly AWS. Knowledge of containerisation technologies (Docker, ECS) and serverless computing (Lambda). Understanding of monitoring and observability tooling
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teams and fostering inclusive, high-performing cultures with clear expectations and ownership. Broad experience across platform domains such as cloud, compute, storage, or networking, with a strong
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technical landscape of cloud computing environments and their implications in education, research, and operations. Proven ability to successfully develop and lead the implementation of robust digital and/or
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Experienced: You possess a tertiary qualification in Computer Technology or a related field, bolstered by extensive experience managing complex projects across large, diverse organisations. Expert in Cloud
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prepares data for analysis through custom and open-source tools and workflows to analyse data as required by the LEARN team. Ensure said pipeline is deployable and operable on high-performance computing