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policies Implement metadata tagging and dataset documentation Oversee on premise and cloud data storage/compute chargeback cost allocations Interface with Fred Hutch Scientific Computing and IT Ensure
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to cloud adoption, automation, and data management. - Quantify European investments and spending in infrastructure and digital areas, identifying the main market dynamics. - Assess the impact of
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. For program details and eligibility, please visit https://hr.gwu.edu/benefits-programs. II. JOB DETAILS Campus Location: Foggy Bottom, Washington, D.C. College/School/Department: GW IT Family Information
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for translating business needs into technical solutions, leading efforts to adopt emerging AI-enabled platforms, and ensuring robust deployment to cloud infrastructure. You'll mentor team members, foster a culture
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practices (Agile, DevOps/CI-CD, cloud-forward architectures), champions data governance and integration standards, and fosters a culture of service, learning, and inclusion. Responsibilities Provides vision
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container-based deployment solutions (Docker, Kubernetes); modern database and data analytics technologies (Postgres, MySQL, NoSQL, Elasticsearch, Spark, Hadoop, etc.); and High performance/cloud computing
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-on operations to an agile product and driven approach. Champion the adoption of new processes and services that empower our customers to move faster. Operational Excellence: Be at the center of the system
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of research and public service that advance knowledge and improve the lives of the people of the Commonwealth, the nation and the world.” We are transforming to adopt new capabilities such as cloud-first
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equivalencies: https://hr.uky.edu/employment/working-uk/equivalencies Required Related Experience 7 yrs Required License/Registration/Certification None Physical Requirements The physical requirements
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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