Software Development Engineer Intern

About the Role

Shape what comes next at Amazon. Our engineers work on scalable systems, cloud services, and customer-facing products that operate at global scale. This is an environment where you learn by building. Whether you're creating cloud-native solutions, optimizing machine learning models, or building products that drive experiences for millions of customers around the globe, your work reaches the world, fast. You'll take ownership early, collaborate across teams and disciplines, and grow your skills as you tackle new problems.

An internship at Amazon means real responsibility from day one. You'll build, test, and learn alongside people who want to see you succeed, while making an impact that reaches far beyond campus.

Internship Details

• Application considered for Summer 2027 internship roles.
• All intern roles require in-person work and are 12 weeks in duration, typically starting in May/June and ending in August/September.
• Consideration may be given for Winter 2027 (Start January/February; End April/May) and Fall 2027 (Start August/September; End November/December) based on business need and availability.
• Internships are full-time positions, Monday-Friday, up to 40 hours per week, typically between 8 am-5 pm.
• Interns should not have conflicts such as classes or other employment during the Amazon work-day.
• Applicants should have a minimum of one quarter/semester/trimester remaining in their studies after their internship concludes.
• Placement at specific locations is based on business availability and is not guaranteed.

Key Responsibilities

• Collaborate and communicate effectively with experienced cross-disciplinary Amazonians to design, build, and operate innovative products and services.
• Participate in technical discussions to drive solutions forward.
• Break down complex, ambiguous problems into well-defined, solvable components before implementation.
• Contribute to the design and development of scalable, reliable services.
• Participate in code reviews, providing constructive feedback and validating correctness, including for AI-generated code.
• Contribute to clear and accurate technical documentation.
• Use GenAI and AI-powered tools to enhance development productivity.
• Critically validate, verify, and integrate AI-generated code, exercising sound judgment about when to trust AI output.
• Write clean, maintainable code following best practices and design patterns, including AI-assisted.
• Work in an agile environment practicing CI/CD principles.
• Participate in operational responsibilities including on-call duties.
• Demonstrate operational excellence through monitoring, troubleshooting, and resolving production issues.

Requirements & Tech Stack

• Are 18 years of age or older.
• Are enrolled in a Bachelor's degree or above in Computer Science, Computer Engineering, Data Science, Information Systems, or related STEM fields.
• Experience with at least one general-purpose programming language such as Java, Python, C++, C#, Go, Rust, or TypeScript.
• Experience with data structure implementation, basic algorithm development, and/or object-oriented design principles.
• Experience using AI-assisted development tools in academic or professional settings.
• Work 40 hours/week minimum and commit to 12-week internship maximum.
• Expected degree conferral date between October 2027 – September 2029.
• Have a minimum of one quarter/semester/trimester remaining in their studies after their internship concludes.

Preferred Qualifications

• Experience from previous technical internship(s) or demonstrated project experience.
• Experience with Cloud platforms (preferably AWS), database systems (SQL and NoSQL), AI tools for development productivity, contributing to open-source projects, and/or version control systems.
• Knowledge of software development lifecycle, including design, development, test, build, deployment processes and timelines.
• Strong problem decomposition, problem-solving, and analytical skills.
• Demonstrated ownership and initiative in seeing work through from design to operation.
• Excellent written and verbal communication skills.
• Demonstrated ability to learn and adapt to new technologies quickly.