41 cloud-computing-"https:" "https:" "https:" "https:" "https:" "https:" uni jobs at University of Washington in United States
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deployment of scalable, secure, and flexible identity solutions that support cloud, on-premises, and hybrid environments, and ensure that identity and access management tools and practices are aligned with
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); NoSQL (memcache, Redis, Elasticsearch) Integrate interfaces with existing backend APIs and databases such as Cloud: Serverless; Microservices; AWS or Azure Contribute to and apply software engineering
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university environment. The Software Engineer will support Tier 3 Application Management functions in Workday Finance, a cloud-based finance software system. More specific responsibilities will include
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%) Design and develop Workday integrations for financial processes. Configure advanced integration solutions using Workday tools (EIBs, Studio, APIs, integration cloud platform). Apply version control and
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management, technical and lifecycle support, and adoption of cloud-based tools (Microsoft 365, Teams, Zoom). The position also implements secure systems for remote support, navigates complex affiliations with
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Experience working in high-performance computing (HPC) or cloud environments for large-scale data analysis. Prior experience supporting academic research programs, including contributions to manuscripts, grant
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elsewhere in the job posting. Skills: Cloud Computing, Communication, Data Analysis, Data Visualization, Laboratory Research, Organizing, Recordkeeping, Sequencing Data Analysis, Statistics, Teamwork, Working
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for the benefit of the entire University Advancement organization. Manage and direct technical vendors and data suppliers, as appropriate. Program Management Lead specific technical efforts — understand
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quantification , differential gene expression (e.g., DESeq, edgeR), and differential splicing (e.g., DEXseq, rMATS). Pipeline development languages WDL,CWL, Nextflow. Experience in Google Cloud platform and AWS
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releasing new Google Workspace capabilities while ensuring that the team can adequately support them. To promote research usage of Google Cloud Platform, the TM must work closely with the Research Computing