Software Engineering Intern

Fortive•Minneapolis, MN

8d•$20 - $40

About The Position

The Software Engineering Intern supports the development and maintenance of healthcare SaaS applications through supervised coding, testing, and debugging. The intern collaborates with cross-functional partners (engineering, QA, product, and clinical stakeholders as applicable) to deliver secure, scalable, and compliant software solutions and gains exposure to AI-enhanced features and modern cloud development practices.

Requirements

Currently pursuing a Bachelor’s degree (or higher) in Computer Science, Software Engineering, or a related field, graduating December 2026 or later.
Academic, internship, or project experience in software development (coursework, capstone, personal projects, or prior internship).

Nice To Haves

Interest in healthcare technology and/or AI-related technologies is a plus
Programming Languages: C#, HTML, CSS, JavaScript (Angular and TypeScript a plus)
Cloud Platform Exposure: Familiarity with AWS or Azure (coursework/labs acceptable); certification is a plus.
Healthcare Standards: Basic awareness of HIPAA, HL7, FHIR (not required; willingness to learn is sufficient).
Version Control & Collaboration Tools: Git/GitHub; familiarity with Jira or similar tools
Agile Development: Exposure to Agile/Scrum concepts or working on a team project using agile practices

Responsibilities

Assist with implementing and maintaining software features under guidance from senior engineers
Write clean, maintainable code and contribute to code reviews as part of the learning process
Apply foundational object-oriented programming concepts and software design patterns in assigned tasks
Support development tasks that may include cloud-based components and SaaS application patterns
Gain exposure to CI/CD concepts and tooling, including build/release pipelines and basic containerization workflows
Follow secure coding practices and team standards for handling sensitive data
Build awareness of healthcare privacy concepts (e.g., HIPAA) and interoperability standards (e.g., HL7, FHIR) as relevant to assigned work
Develop foundational understanding of AI/ML concepts and how AI-enhanced features may be integrated into software products
Support tasks that may include data preparation, model integration support, or feature-level validation for AI-enabled capabilities (as applicable)
Participate in agile ceremonies (standups, sprint planning, retros) as a learning experience
Communicate progress, ask questions early, and collaborate effectively with peers and mentors
Contribute to documentation (technical notes, implementation details, or runbooks) as assigned