Software Development Engineer Intern

About the Role

Amazon's tech environment is a playground for engineers working on scalable systems, cloud services, and customer-facing products that operate at global scale. This internship offers an environment to learn by building, taking ownership early, collaborating across teams, and growing skills while tackling new problems.

Internship Details

• Applications are accepted on an ongoing basis.
• Roles are for Summer 2027, with potential for Winter 2027 and Fall 2027 openings based on business need.
• All intern roles require in-person work.
• Internships are 12 weeks in duration, typically starting in May/June and ending in August/September.
• Internships are full-time positions, working up to 40 hours per week, Monday-Friday, typically between 8 am - 5 pm.
• Interns should not have conflicts such as classes or other employment during the Amazon work-day.
• Applicants must have a minimum of one quarter/semester/trimester remaining in their studies after their internship concludes.
• Interns will be considered at all locations Amazon hosts interns in the United States.

Key Responsibilities

• Collaborate and communicate effectively 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.
• 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 AI output.
• Write clean, maintainable code following best practices and design patterns, including AI-assisted code.
• 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.
• Own the entire lifecycle of your code—from design through deployment and ongoing operations.

Specialized Areas of Expertise (Highlight during application)

• Machine Learning
• Distributed Systems and Data Management
• Database Systems
• Quantum Computing
• Network Development
• Query Processing and Optimization
• Automated Reasoning
• Embedded Systems
• Data Engineering
• Mobile Development
• Game Development

Basic Qualifications

• 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 weeks 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.