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computer science, Computer Applications, Engineering or related field At least 8 years of relevant experiences in similar role / technical hands-on experience with distributed systems, cloud platforms, and real-time
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 02-Apr-26 Location: St. Cloud, Categories: Academic/Faculty Affairs Staff/Administrative Internal Number: JOB_POSTING
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required to make data driven discoveries that increase our scientific knowledge and improve the quality of life. We architect ecosystems of large-scale commons of research data, computing resources
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Computer (HPC) with its sizable cluster of CPUs, GPUs, storage arrays and high speed networking as well as our cloud (AWS) based Data Safe Haven, used for researchers working on sensitive data. As Research
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scalable solutions within Salesforce (Sales, Service, Education, Experience, Marketing Clouds). Build advanced Salesforce Flows, Flow Orchestration, and declarative automation at scale. Develop Apex classes
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of London’s operations. The programme is building a secure, cloud-native AI platform on Microsoft Azure and Kubernetes, which will serve as the university’s central capability for deploying LLM-powered agents
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degree in computer science/engineering/informatics or other technical fields. 3+ years of professional experience in cloud engineering, DevOps, or MLOps. Strong understanding of cloud infrastructure
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integration across identity management, research computing platforms, AI/ML workloads, and a growing portfolio of cloud-native and hybrid applications. This hands-on technical leadership role requires deep
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(Senior Enterprise Engineer - Data Management Team) proactively manages, maintains, and influences UI Health's Enterprise computing environment which includes on premises and cloud computing systems and
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Experience with Salesforce, including Apex, Lightning Web Components, Sales Cloud, Service Cloud, and Experience Cloud. Experience with enterprise integration patterns and enterprise iPaaS platforms