The Center for Translational Data Science (CTDS) at the University of Chicago is a research center whose mission is to develop the discipline of translational data science to impactful problems in biology, medicine, healthcare, and the environment. We envision a world in which researchers have ready access to the data needed and the tools 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, applications, tools, and services for the broader research community to use data at scale to pursue scientific inquiry and accelerate discovery. Learn more at https://gdc.cancer.gov/, https://gen3.org/, https://stats.gen3.org/, and https://ctds.uchicago.edu/. The job performs a variety of activities relating to software support and/or development. Provides analysis, design, development, debugging, and modification of computer code for end user applications, beta general releases, web pages, and production support. Troubleshoots problems using existing procedures to find a possible solution. The Senior Platform Engineer provides production support, production monitoring, CI/CD design & implementation, & security automation across the open-source software platforms CTDS develops and operates for translational data science. Production support includes triaging, researching, communicating, and addressing production incidents. For monitoring, the engineer will wrangle disparate system monitoring assets and develop common analytics to inform optimization, define benchmarks and confidence intervals, and to forecast, proactively mitigating production incidents. CI/CD pipelines are for hybrid cloud architecture on-premises and in commercial cloud providers like Amazon, Google, and Microsoft. This at-will position is wholly or partially funded by contractual grant funding which is renewed under provisions set by the grantor of the contract. Employment will be contingent upon the continued receipt of these grant funds and satisfactory job performance.
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Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees