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UID:submissions.supercomputing.org_SC22_sess488_job224@linklings.com
SUMMARY:Full Stack Software Developer
DESCRIPTION:Job Posting\n\nFull Stack Software Developer\n\n\n\nOverview:\
 n\nThe Analytics and AI Methods at Scale (AAIMS) Group in the National Cen
 ter for Computational Science (NCCS) seeks highly motivated individual(s) 
 to work with our staff scientists to design and develop scalable data pipe
 line, as well as web-based interactive visual analytic applications to dri
 ve toward operational intelligence. We are looking for someone that is cre
 ative, well-rounded, and has the eagerness and technical curiosity to expl
 ore and work with exciting new technologies. You should be comfortable fol
 lowing software best practices and be able to contribute to a range of pro
 jects from initial development to continued improvement.\n\n \n\nThe NCCS 
 and its Leadership Computing Program (OLCF) provides world class computing
  facilities to applications across all computational domains and disciplin
 es, and through this position you will be able to impact and further the m
 ission of NCCS and Oak Ridge National Laboratory. We are an inclusive dyna
 mic environment that welcomes those with initiative and creativity.\n\n \n
 \nMajor Duties/Responsibilities:\n\nNCCS collects operational data from va
 rious sources such as the HPC facility, storage backends, networks, parall
 el file systems, and applications and jobs at very high velocity and volum
 e.  You will have the opportunity to leverage your expertise in software e
 ngineering to help build the scalable data pipelines as well as web-based 
 visual analytical applications that aims to enhance situational awareness 
 & operational efficiency of our users & operations. \n\nWhile data science
  experience is not required, you will help architect such systems by colla
 borating in an interdisciplinary team of researchers and engineers from ba
 ckgrounds in data science, software engineering and system software, with 
 ample growth opportunities.\n\nMajor related areas of activities are liste
 d below but are not limited to:\n\nDesign and develop scalable data pipeli
 ne components that perform data acquisition, processing, and handling.\nDe
 sign, implement, or support web based interactive visual analytics applica
 tions that leverages the data artifacts from the underlying data pipelines
  & machine learning development activities from live data.\nOperation & ma
 intenance of an eco-system of data pipeline, workflow components, services
 , and applications in production\nSupport staff scientists to conduct scal
 able data processing, analytics, operational insight extraction, and visua
 lization by providing software engineering support in building systems, to
 ols, and frameworks.
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