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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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). 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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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
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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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, cloud-based data infrastructure that supports national research efforts. In this role, you’ll work with a dynamic team to build data pipelines, optimise databases, and manage diverse terrestrial ecosystem
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with senior stakeholders, business units, and technical teams to define data standards, architect scalable solutions, and integrate diverse data sources across onpremises and cloud environments
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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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and Engineering. In this role, you will deliver high-quality teaching across undergraduate and postgraduate programs in areas such as database systems, systems design, programming, cloud computing