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– Cloud and Infrastructure to help operate, support and continuously improve the University of Canterbury’s hybrid technology environment. You will work across cloud services and core datacentre
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cloud and infrastructure services are designed, delivered and evolved across a newly integrated organisation. This is about creating the foundations — ensuring platforms are reliable, scalable, and ready
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cloud and AI platforms across Azure and AWS, creating scalable environments that support enterprise data, analytics, machine learning, and generative AI solutions. You will automate infrastructure using
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/authorisation). • Proven experience integrating IAM systems with enterprise applications, cloud environments and on-premise systems. • Experience configuring connectors and workflows between source and
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, including Windows, Linux, cloud, virtualisation and storage technologies as required. What you will bring | Ngā tino pūkenga me ngā wheako To be successful in this role, you will have: A tertiary
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the future of UC’s endpoint, virtualised computing and cloud-first environments. You will lead architecture, engineering, automation and optimisation activities that help modernise computing services and
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digital transformation programme, modernising legacy integrations, developing solutions across cloud and on-premise platforms, and helping shape the University's future integration capability. Key
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, experimentation, SQL, and Python Cloud platforms and data services used to deliver analytics, for example Microsoft Azure or Snowflake Developing data strategy and strengthening data management, governance, quality
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experience building data pipelines using SQL, Python, Snowflake, Databricks, Spark, or similar technologies. Experience working with cloud platforms such as Azure and/or AWS. Experience designing and
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use technology. You will work with PCs, desktop hardware, mobile devices, collaboration tools, software, cloud services, and Microsoft technologies, while contributing to a supportive team culture