11 cloud-computing-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" positions at Curtin University
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enterprise identity platforms, ensuring reliable, secure and scalable identity services across both on-premises and cloud environments. The role requires someone with strong experience managing large hybrid
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team members. Excellent analytical, problem-solving and communication skills. A strong customer-focus and the ability to build collaborative relationships. Desirable experience includes cloud
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and industry trends and recommend innovative solutions to improve systems and processes. We are looking for (selection criteria): A degree in Software Engineering, Computer Science, or a related field
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, GitHub). Strong leadership, communication, and stakeholder engagement abilities. Demonstrated experience with virtualised server environments and cloud-based architectures. AWS experience/expertise and
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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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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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). 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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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
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(e.g., Docker, Kubernetes, cloud/edge environments). Demonstrated expertise in AI, distributed computing, machine learning, or systems software design. Strong background in software engineering