37 cloud-computing-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" positions in Australia
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solutions to improve systems and processes. Selection Criteria: Essential: A degree in Software Engineering, Computer Science, or a related field. Proven experience developing complex, enterprise-level cloud
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. platforms for BIM, Point Cloud, mesh, CAD). Develop and maintain standards and procedures for graphical information and systems (e.g. SiSfm, Archibus, Mazemaps). such as geolocation, layering, BIM parameters
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and requirements in a hybrid and cloud-centric environment (e.g. AWS Bedrock, Azure Foundry, Copilot, Power Platform). An understanding of Cloud, Managed Service and integration architectures for AI and
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and plugins. Some professional experience in a Project Coordination role, preferably in the support and development of scientific and/or computational projects. Well-developed written and verbal
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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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within the Corporate Services division and is responsible for the delivery of the integration capabilities in support of a highly strategic program for the University. The position will report to the Head
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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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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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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 2 months 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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processes. Selection Criteria: Essential: A degree in Software Engineering, Computer Science, or a related field. Proven experience developing complex, enterprise-level cloud applications. Proficiency in