12 cloud "https:" "https:" "https:" positions at University of New South Wales in Australia
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on the multiple solutions platforms in a specialised environment. This may include front-end web application platforms, back-end web application frameworks, cloud-based infrastructure platforms (e.g., AWS, Google
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Engineering team, responsible for the implementation, configuration, automation, and support of cyber security services across on-premises, public, and hybrid cloud environments. This includes integrating
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). Understanding of core IT and cyber security domains such as identity/access management, vulnerability management, cloud security, AI security fundamentals and change/release governance, sufficient to engage
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cases, execution of tests and reporting of defects. Extensive experience with CRM D365, Adobe Experience Cloud, Adobe Experience Platform, Adobe Journey Optimiser and Automation using Selenium Extensive
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services across on-premises, public, and hybrid cloud environments. This includes integrating security controls into CI/CD pipelines, leveraging Infrastructure-as-Code (IaC), and orchestrating workflows
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, C#, JavaScript or similar languages (advantageous but not essential) Familiarity with Azure services and cloud-based solution design (beneficial but not mandatory where strong learning capability is
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the IAM Cloud Services Manager. The role reports to IAM Cloud Services Manager and has no direct reports. Specific accountabilities for this role include: Resolve issues/requests/problems raised in UNSW’s
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and construction contexts. Proven experience delivering secure, scalable integrations across GIS, BIM, Digital Twin platforms, asset registers, financial systems, and cloud services to support
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enterprise environments, including multi-cloud and hybrid cloud environments Design, implement, and manage integration solutions across multi-cloud and hybrid cloud environments, considering security
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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