Top Entry Level Software Engineer Jobs in Miami, FL

Build and ship full-stack healthcare features across React and TypeScript/Node.js, including database migrations, APIs, interfaces, and tests. Work with AI coding agents, participate in design and code reviews, and progressively own features end to end. The role requires secure handling of protected health information through authentication, authorization, and audit logging, along with clear communication and thoughtful technical decision-making.

Build and ship end-to-end features across React frontends and TypeScript/Node.js backends, including data models, APIs, interfaces, migrations, and tests. Collaborate in design and code reviews, use AI coding agents responsibly, and handle protected health information with authentication, authorization, and audit logging. The role offers mentorship, increasing ownership, and a path from Associate Software Engineer through senior technical levels.

Build and ship end-to-end features across React and TypeScript/Node.js, including database migrations, APIs, interfaces, and tests. Use AI coding agents responsibly, participate in design and code reviews, and handle protected health information with strong authentication, authorization, and audit logging. Collaborate with mentors while developing increasing ownership and independence. The role is intended for students graduating between December 2026 and June 2027 and based in Miami.

Software Engineers will design, develop, test, deploy, and maintain scalable software, APIs, integrations, services, and applications. Responsibilities include writing clean code, participating in architecture discussions and code reviews, building automated tests, diagnosing technical issues, contributing to CI/CD and deployment practices, and collaborating with product, design, data, QA, and architecture teams. This talent community posting considers engineers across front-end, back-end, full-stack, cloud, data, and other specialties for future opportunities.

Build high-performance trading tools and large-data research platforms in small teams. Design system architectures, develop resilient production software, and apply distributed computing, NLP, and machine learning to solve complex quantitative problems while collaborating with engineers, traders, and researchers.