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The University of Chicago Logo

Senior Full Stack Engineer

The University of Chicago

$100,000 - $140,000
Dec 15, 2025
Chicago, IL, US
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The TMW Center for Early Learning + Public Health at the University of Chicago is looking to develop, test, and implement evidence-based interventions designed to promote very young children’s cognitive and social-emotional development, with emerging technologies that enhance—rather than replace—the pivotal role that caregivers play in building healthy young brains.

Requirements

  • Knowledge and skills developed through 5-7 years of work experience in a related job discipline.
  • Proven experience building web applications with Python/Django.
  • Working knowledge of C / .NET frameworks and services.
  • Comfortable working with React.js and modern front-end tooling.
  • Experience designing and consuming RESTful APIs; understanding of web performance and security principles.
  • Strong database skills with PostgreSQL and/or SQL Server.
  • Familiarity with cloud environments (AWS, Azure, or similar).

Responsibilities

  • Lead the development and maintenance of backend services and APIs in Django (primary) and .NET (secondary).
  • Collaborate with front-end engineers to design and implement effective interfaces between the backend and the React.js client.
  • Architect scalable data models, services, and integrations with third-party APIs.
  • Contribute to system architecture decisions and help guide best practices in backend and full-stack development.
  • Write clean, maintainable, and well-tested code across multiple systems.
  • Participate in code reviews, technical design sessions, and cross-functional collaboration with product and design teams.
  • Support CI/CD pipelines and ensure smooth deployments and system reliability.

Other

  • Minimum requirements include a college or university degree in related field.
  • Minimum requirements include knowledge and skills developed through 5-7 years of work experience in a related job discipline.
  • Advanced Degree in economics, data science, data analytics, computer science, software engineering or related fields strongly preferred.
  • Office Environment.
  • 40 Scheduled Weekly Hours