IT Business Automation Intern - Technology IT

About Signant Health

About the role

Internship structure

• The internship lasts 3 to 6 months.
• The role is part time and designed to accommodate college commitments.
• Interns commit approximately 15 to 20 hours per week.

Work arrangement

• The role uses a hybrid model.
• During the first 2 to 3 weeks, interns attend the office 2 days per week for onboarding, training, team interaction, mentoring, and knowledge transfer.
• After onboarding, work is primarily remote with occasional office attendance as needed.
• All interns attend shared office days during onboarding and later office visits.

Key accountabilities

• Participate in software development, testing, automation, and support activities on real business projects.
• Assist with feature development, enhancements, and bug fixes under experienced team guidance.
• Collaborate on assigned projects and deliver work to agreed timelines.
• Participate in code reviews, team discussions, and knowledge-sharing sessions.
• Create and maintain technical documentation for features and processes.
• Apply software engineering practices involving version control, testing, and deployment workflows.
• Gain exposure to Agile methodologies and enterprise systems.

Essential qualifications

• Be a current college student pursuing Computer Science, Information Technology, Software Engineering, or a related degree.
• Have basic programming knowledge and working knowledge of at least one scripting language such as Python, JavaScript, or TypeScript.
• Have a strong interest in software development, automation, cloud technologies, integrations, or enterprise applications.
• Have strong analytical and problem-solving skills, good communication and collaboration skills, and eagerness to learn.
• Commit approximately 15 to 20 hours per week and attend shared office days during onboarding.

Desirable qualifications

• Academic, personal, or hackathon projects demonstrating hands-on coding beyond coursework.
• Exposure to Git or another version control system.
• Familiarity with AI-assisted development tools or interest in AI-driven automation.
• Basic familiarity with databases, SQL, REST APIs, or cloud platform fundamentals.

Learning objectives

• Gain practical experience working on real business projects and using software development lifecycle processes.
• Communicate technical work clearly to technical and non-technical audiences.
• Apply collaboration, code review, testing, and deployment practices used by professional engineering teams.
• Strengthen problem-solving and analytical capabilities through hands-on project work.