Full Stack Developer

Department Globus Labs About the Department Globus ( 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 create and operate commercial‑quality, cloud‑based software applications and platform services used by tens of thousands of researchers to manage their growing data‑management challenges. Globus, together with Globus Labs, a research group within the University of Chicago, and 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 breakthrough scientific discoveries. Job Summary As a member of the Globus team, the candidate will contribute to the design and development of hybrid agentic middleware. This full‑stack engineering role focuses on building production‑quality cloud services used by thousands of researchers and serves as a critical component in major U.S. cross‑agency data and AI for Science initiatives. The candidate will collaborate with domain scientists to develop and deploy agentic systems that address real‑world challenges in materials science, chemistry, biology, X‑ray science, and related fields. Responsibilities include designing and implementing full‑stack applications, spanning backend services, APIs, and open‑source software, with a primary focus on Python‑based, scalable, and robust systems deployed in cloud environments. The role involves building, deploying, and managing cloud‑native services, ensuring reliability, performance, and usability in production settings. Responsibilities Contribute to development of software infrastructure to support creation of agentic systems. Deploy and operate cloud‑hosted services for use by the research community. Build relationships with other AI/ML and data infrastructure community efforts. Define key directions to keep UChicago at the forefront of AI/ML and national data infrastructure. Ensure compliance of research activities with institutional, state, and federal regulatory policies, procedures, directives, and mandates. Present findings at meetings and/or conferences. Lead the definition and documentation of requirements, architecture and design of secure, scalable, asynchronous, agentic systems, based on principles of API design, asynchronous processes, service deployment, and delivering highly available services. Define technical direction and provide leadership for product initiatives. Maintain a leadership role in the AI/ML and data infrastructure community. Build and maintain knowledge of relevant software technologies being developed and/or used in scientific and commercial communities; contribute to team coordination and development activities, including project planning, project reporting, and recruitment. Design new systems, features, and tools; solve complex problems and identify opportunities for technical improvement and performance optimization; review and test code to ensure appropriate standards are met. Utilize technical knowledge of existing and emerging technologies, including public cloud offerings from Amazon Web Services, Microsoft Azure, and Google Cloud. Perform other related work as needed. Minimum Qualifications Education: A college or university degree in a related field. Work Experience: 5–7 years of experience in a related job discipline. Preferred Qualifications Relevant programming experience developing, implementing, debugging, and maintaining applications with Python. Experience working with high performance computers (e.g., parallelizing and distributing code). Experience in distributed data management and workflow systems. Experience leading the design, development and publication of innovative projects in AI/ML solutions. Preferred Competencies Ability to build systems where agents operate with independence, make decisions, and execute complex workflows. Expertise in engineering modular, dynamic workflows for agents, breaking problems into sub‑tasks and designing feedback loops for ongoing improvement. Understanding of patterns where multiple agents collaborate and specialize within larger systems for scalability and robustness. Competence in equipping agents with planning capabilities, persistent memory across sessions/tasks, and causal/logical reasoning to enhance autonomy and effectiveness. Working Conditions Ability to work in a team environment. Remote position with some onsite requirements for team meetings and site visits. Requires the ability to work independently. Equal Employment Opportunity Statement The University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity or expression, national or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information see the University’s Notice of Nondiscrimination. #J-18808-Ljbffr