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By applying to this position, your application will only be considered for our summer Software Development Engineer (SDE) internship roles. Our summer intern roles have start dates in May/June 2026 and are 12 weeks in duration.
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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.
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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.
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Amazon internships across all seasons are full-time positions, and interns should expect to work in office, Monday-Friday, up to 40 hours per week 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.
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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 Canada including but not limited to:
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Vancouver, BC; Toronto, ON; Winnipeg, MN; Victoria, BC; Ottawa, ON; Calgary, AB
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***Locations are subject to change. ***
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β’ Machine Learning
β’ Distributed Systems and Data Management
β’ Database Systems
β’ Quantum Computing
β’ Network Development
β’ Query Processing and Optimization
β’ Automated Reasoning
β’ Embedded Systems
β’ Data Engineering
β’ Mobile Development
β’ Game Development
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While team placement is based on business needs, sharing your specific skills and interests helps us better align your experience with potential roles.
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β’ 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.
β’ Design and develop scalable solutions using cloud-native architectures and microservices in a large distributed computing environment.
β’ Participate in code reviews and contribute to technical documentation.
β’ Build and maintain resilient distributed systems that are scalable, fault-tolerant, and cost-effective.
β’ Leverage and contribute to the development of GenAI and AI-powered tools to enhance development productivity while staying current with emerging technologies.
β’ Write clean, maintainable code following best practices and design patterns.
β’ Work in an agile environment practicing CI/CD principles while participating in operational responsibilities.
β’ Demonstrate operational excellence through monitoring, troubleshooting, and resolving production issues.
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As an intern, you will be matched to a manager and a mentor and will have the opportunity to influence the evolution of Amazon technology and lead critical projects early in your career.
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- Are 18 years of age or older
- 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
- Are enrolled in a Bachelor's degree or above in Computer Science, Computer Engineering, Data Science, Information Systems, or related STEM fields
- Able to work 40 hours/week and commit to a 12-week internship
- Expected conferral date between October 2026 β September 2029
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- Experience from previous technical internship(s) or demonstrated project experience
- Experience with one or more of the following: AI tools for development, productivity, Cloud platforms (preferably AWS), Database systems (SQL and NoSQL), Contributing to open-source projects, Version control systems, Debugging and troubleshooting complex systems
- Debugging and troubleshooting complex systems
- Demonstrated ability to learn and adapt to new technologies quickly
- Basic understanding of software development lifecycle (SDLC)
- Strong problem-solving and analytical skills
- Excellent written and verbal communication skills
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