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
- AWSSQLNoSQL
- Work
- On-site in Arlington · internship
- Pay
- Not stated by the employer.
- Skill demand
- Troubleshooting47%CI/CD42%Agile32%LLMs15%of 99 similar entry-level jobs posted in the US this week
- Listed
- Nov 9, 2026 · still open
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About the Role
- This role is for a Software Development Engineer Intern - Summer 2027 at Amazon.
- Applications are accepted on an ongoing basis.
- Internships are 12 weeks in duration, typically starting in May/June and ending in August/September.
- All intern roles require in-person work.
- Internships are full-time positions, typically Monday-Friday, 8 AM - 5 PM, up to 40 hours per week.
- 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.
- The majority of internships are in Summer 2027, but additional openings may include Winter 2027 (January/February - April/May) and Fall 2027 (August/September - November/December). Placement in non-summer seasons is not guaranteed.
- 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 when to trust AI output and when not to.
- 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, expand your network, and participate in activities with other interns.
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.
- Ability to work 40 hours/week minimum and commit to a 12-week internship.
- Specialized Areas (highlight expertise 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
- Preferred experience includes:
- Cloud platforms (preferably AWS)
- Database systems (SQL and NoSQL)
- AI tools for development productivity
- Contributing to open-source projects
- Version control systems
- Knowledge of software development lifecycle, including design, development, test, build, deployment processes and timelines.
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.
- 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.
- 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.