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involves deep collaboration with research computing, security, network, infrastructure, and operations teams while continuously evaluating cloud, on‑premises, and hybrid environments. The architect plays a
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, and quantum computing, and the ability to support their adoption in research contexts Sound understanding of training technologies, preferably in a cloud computing context, and experience supporting
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, visualisation of results, and automation of computational experiments; optimising code performance and supporting the integration of models with research infrastructure (e.g. HPC, cloud, MLOps pipeline
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, focusing on strategic cloud adoption and secure cloud integration. This position offers the flexibility to work remotely on a regular basis. However, the role requires in-person attendance for monthly staff
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or governing enterprise research platforms such as Qualtrics. Familiarity with cloud infrastructure, research computing environments, or AI-enabled research tools. This position is designated as essential. Under
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NAISS, the National Academic Infrastructure for Supercomputing in Sweden, provides academic users with high-performance computing resources, storage capacity, and data services. NAISS is hosted by
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for academic systems, administrative systems, and research computing. The Computing and Storage team designs, implements, and operates enterprise-level virtual and physical servers, as well as data
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adoption of AI development tools. Qualifications Core Requirements 5-10+ years software engineering with strong enterprise web application delivery Degree in Computer Science or equivalent practical
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managing Data Loss Prevention (DLP) solutions like Microsoft Purview across cloud and on-premises environments, with a proven ability to lead DLP adoption by collaborating with business and technology teams
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between cloud-based and on-premises data sources and destinations Proficient with computer applications and programs associated with the position (i.e., Microsoft Office suite and other collaboration tools