Globus (www.globus.org) is a sustainable, non-profit unit within The University of Chicago delivering solutions to the research community worldwide. Globus develops and provides critical services that support scientific research for governmental, academic, and commercial organizations in a wide range of disciplines including life sciences, physics, and astronomy. We develop and operate commercial-quality, cloud-based software application and platform services used by 10s of thousands of researchers to manage their large–and growing–data management challenges. We have offices located at the NBC Tower in the heart of downtown Chicago and remote employees who work-from-home. Globus, together with Globus Labs, a research group within the University of Chicago, and part of the Data Science and Learning Division at Argonne National Labs, develop and deploy cutting edge technologies to solve new challenges facing the scientific community and enable break-through scientific discoveries. Globus Labs is seeking a part-time Python developer to contribute to ongoing research projects at the intersection of distributed systems, data-intensive science, and automation. The successful candidate will join a dynamic team of researchers and engineers working to advance the state of the art in scientific computing through innovative workflow, scheduling, and data management technologies. The developer will participate in the design and implementation of systems that enable large-scale, distributed research. Projects may involve developing novel scheduling algorithms for federated and serverless computing, extending Python-based workflow and Function-as-a-Service (FaaS) frameworks, or building services that enhance the interoperability and performance of Globus tools and platforms. A key aspect of the role will be contributing to the infrastructure that underpins these research efforts—integrating Globus services for data transfer, sharing, and authentication; creating interfaces for monitoring and managing distributed workflows; and designing mechanisms for indexing, searching, and analyzing data across institutions and clouds. The developer will have the opportunity to help prototype new systems that push the boundaries of scalability and automation in data- and compute-intensive research environments.
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Job Type
Part-time
Career Level
Entry Level
Number of Employees
5,001-10,000 employees