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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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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
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. Desirable Familiarity with cloud, virtual machines or distributed computing environments. Exposure to machine-learning frameworks (e.g., TensorFlow, PyTorch). Interest in developing scalable and secure
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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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and execute test phases. ISTQB certification (required). Desirable: Experience in the higher education sector or understanding of ICT use in universities. AWS Cloud Practitioner certification. Role
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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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for the Australian Grains Industry (AAGI) program. The ideal candidate will be an expert in hyperspectral remote sensing with significant experience in data science for geospatial data analytics. This research project