Key skills
Object-Oriented ProgrammingC#NET FrameworkRESTful Web ServicesAPIsSQLRelational DatabasesJSONXMLDesign PatternsDependency InjectionJavaScriptC.NETAIMachine LearningGenerative AISpringAWSAzureRESTfulRepositoryAgileProduct Management
About this role
Enlyte is a company that combines innovative technology and clinical expertise to help people recover after workplace injuries or auto accidents. The Software Development Engineering Intern will participate in agile software development, collaborating with product teams to design, develop, and test new products while gaining hands-on experience in a fast-paced environment.
Responsibilities:
- Conduct research to discover new technologies and tools to help design, develop, implement, and test new products
- Work in a fast-paced Agile team using unit tests, test driven development, continuous delivery, and continuous integration to rapidly test and deliver new features
- Collaborate with product management and other delivery teams to shape new requirements and the architecture of the product
- Build high performance and scalable applications using inversion of control/dependency injection paradigms
- Work in a team that dedicates itself to helping you improve your technical skills and advance your career
- Collaborate with other developers in your team who are eager to share knowledge
- Drive a positive change in the company through application of out the box thinking
- Be part of an environment that depends upon your unique perspective
- Integrating Generative AI in workplace productivity applications
- Working with microservices architecture and cloud technologies
Requirements:
- Pursuing a bachelor's or master's degree in Computer Science or related field
- Graduating Summer/Fall 2026 or Spring 2027
- GPA 3.3+
- Ability to commit 40 hours per week for 12 weeks during the summer of 2026
- Fundamental knowledge of coding principles and Object-Oriented Programming (OOP)
- Experience with one or more of the following: C# or .NET Framework, RESTful Web Services or APIs, SQL and relational databases (RDBMS), JSON/XML data formats, Design patterns (e.g., Repository, Factory, Dependency Injection)
- Working knowledge of JavaScript, HTML, CSS, and ReactJS
- Exposure to cloud platforms (AWS or Azure)
- Interest in AI/Machine Learning concepts