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Do you want to solve real customer problems through innovative technology? Do you enjoy working on scalable services in a collaborative team environment? Do you want to see your code directly impact millions of customers worldwide? At Amazon, we hire the best minds in technology to innovate and build on behalf of our customers. Customer obsession is part of our company DNA, which has made us one of the world's most beloved brands. Our SDE interns use modern technology to solve complex problems while seeing their work's impact first-hand. The challenges SDE interns solve at Amazon are meaningful and influence millions of customers, sellers, and products globally. We seek individuals passionate about creating new products, features, and services while managing ambiguity in an environment where development cycles are measured in weeks, not years. At Amazon, we believe in ownership at every level. As a SDE intern, you'll own the entire lifecycle of your code - from design through deployment and ongoing operations. This ownership mindset, combined with our commitment to operational excellence, ensures we deliver the highest quality solutions for our customers. We're looking for curious minds who think big and want to define tomorrow's technology. At Amazon, you'll grow into the high-impact engineer you know you can be, supported by a culture of learning and mentorship. Every day brings exciting new challenges and opportunities for personal growth. Each internship is a full-time commitment (40 hours/week) for 12 weeks. Interns should expect to work in office, Monday-Friday, typically between 8am-5pm. Specific team norms around working hours will be communicated by your manager. 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. We will take your location preferences into consideration. Preferences are based on business availability and are not guaranteed. Applicants will be considered at all locations we host interns in the United States including but not limited to: • CA (Culver City, San Francisco, Santa Clara, Sunnyvale) • CO (Denver) • MA (Boston) • NJ (Jersey City) • NY (New York) • VA (Arlington) • WA (Bellevue, Seattle, Redmond) ***Locations are subject to change*** During your application, you will have the opportunity to highlight your expertise in one or more of these specialized areas: • 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 While team placement is based on business needs, sharing your specific skills and interests helps us better align your experience with potential roles.
Job Responsibility:
Collaborate and communicate effectively with experienced cross-disciplinary Amazonians to design, build, and operate innovative products and services that delight our customers, while participating in technical discussions to drive solutions forward
Design and develop scalable solutions using cloud-native architectures and microservices in a large distributed computing environment
Participate in code reviews and contribute to technical documentation
Build and maintain resilient distributed systems that are scalable, fault-tolerant, and cost-effective
Leverage and contribute to the development of GenAI and AI-powered tools to enhance development productivity while staying current with emerging technologies
Write clean, maintainable code following best practices and design patterns
Work in an agile environment practicing CI/CD principles while participating in operational responsibilities
Demonstrate operational excellence through monitoring, troubleshooting, and resolving production issues
Requirements:
Are enrolled in a Bachelor's degree or above in Computer Science, Computer Engineering, Data Science, Information Systems, or related STEM fields
Expected conferral date between October 2026 – September 2029
Nice to have:
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 from previous technical internship(s) or demonstrated project experience
Demonstrated ability to learn and adapt to new technologies quickly
Basic understanding of software development lifecycle (SDLC)