Software Development Engineer Intern
Amazon
This job at a glance
- Who can apply
- New grads and up to 20 years · Bachelor's degree
- Must know
- LLMsCI/CDAgileTroubleshootingPythonJava
- Nice to have
- SQLNoSQLAWS
- Work
- On-site in Boston · internship
- Pay
- Not stated by the employer.
- Skill demand
- Troubleshooting40%CI/CD39%Agile32%LLMs17%of 100 similar entry-level jobs posted in the US this week
- Listed
- Nov 10, 2026 · still open
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About the Role
At Amazon, engineers build scalable systems, cloud services, and customer-facing products at global scale. This is an environment where you learn by building, taking ownership early, and collaborating across teams to grow your skills while tackling new problems.
This role is for a Software Development Engineer Intern - Summer 2027.
- Internships are 12 weeks in duration, typically starting in May/June and ending in August/September.
- All intern roles require in-person work and are full-time positions (up to 40 hours per week, Monday-Friday, typically 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.
- Consideration will be given for Winter 2027 and Fall 2027 openings based on business need.
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 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.
- Influence the evolution of Amazon technology and lead critical projects.
- Engage with Amazonians for personal and professional development and expand your network.
Requirements & Tech Stack
- 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.
- Expected degree conferral date between October 2027 – September 2029.
- Specialized areas to highlight expertise in:
- 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
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.
- Work 40 hours/week minimum and commit to a 12-week internship maximum.
- Have a minimum of one quarter/semester/trimester remaining in their studies after their internship concludes.
Preferred Qualifications
- Experience from previous technical internships 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.