Software Engineering Intern
- Learn and network with employees, leaders, and other interns during an on-the-job experience.
- Potential to earn college credit.
- Research and analysis support on ad-hoc projects.
- Fulfill tasks set out by team leaders.
- Receive coaching, mentoring and feedback from knowledgeable SageSure professionals.
- Contribute enhancements and bugfixes to SageSure’s Design System, our standard user interface component library used by our consumer-facing applications.
- Improve code quality through test coverage, peer programming, and code reviews utilizing modern patterns and frameworks with the support of your squad and mentor.
- Work to master our standards from developing to releasing code to take on tasks and projects with increasing complexity.
- Collaborate with senior software engineers, quality engineers, product managers, and other engineering squads to build feature-rich user experiences.
- Contributing to meaningful projects that support SageSure’s business goals.
- Presenting your work to leaders and peers, highlighting your accomplishments and building visibility across the organization.
- Collaborating in a culture that celebrates growth and learning, where your progress and contributions are recognized.
- Partnering with teammates and mentors to build skills that can support a pathway to full-time opportunities.
- Currently enrolled in a relevant degree program with a focus on Computer Science, Software Engineering, or a related technical field with an anticipated graduation date in 2026 or 2027.
- Strong communication skills, problem solving, and reasoning skills
- Ability to multitask and hungry to learn
- Ability to work independently and as a team member
- Authorization to work in the United States
- Experience with one or more general-purpose or front-end programming languages, such as JavaScript, TypeScript, HTML, and CSS.
- Experience with front-end programming frameworks and tools, such as react, jest, vite, webpack, npm, or yarn.
- Prior internship experience
- GPA of 3.0 or higher
- AI experience or coursework (e.g., applied AI, machine learning, natural language processing, or workplace analytics tools).
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