Software Development Engineer Intern
Amazon
Software Development Engineer Intern
Amazon
Sells products online and rents cloud computing
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 Software Development Engineers (SDEs) use modern technology to solve complex problems while seeing their work's impact first-hand. The challenges SDEs 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 an SDE-I, 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.
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.
Key job responsibilities
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.
Break down complex, ambiguous problems into well-defined, solvable components before implementation.
Contribute to the design and development of scalable, reliable services, with distributed-systems scope varying by team.
Participate in code reviews as a core engineering practice, providing constructive feedback and validating correctness.
Contribute to clear and accurate technical documentation.
Use GenAI and AI-powered tools to enhance development productivity, and critically validate, verify, and integrate AI-generated code, exercising sound judgement about when to trust AI output.
Write clean, maintainable code following best practices and design patterns.
Work in an agile environment practicing CI/CD principles while participating in operational responsibilities including on-call duties.
Demonstrate operational excellence through monitoring, troubleshooting, and resolving production issues.
A day in the life
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.
In addition to working on an impactful project, you will have the opportunity to engage with Amazonians for both personal and professional development, expand your network, and participate in activities with other interns throughout your internship. No matter the location of your internship, we give you the tools to own your project and learn in a real-world setting.
- Are enrolled in or have completed a Bachelor's degree in Computer Science, Computer Engineering, Data Science, Electrical Engineering, or majors relating to these fields
- Knowledge of programming languages such as C/C++, Python, Java or Perl
- Knowledge of computer science fundamentals such as object-oriented design, operating systems, algorithms, data structures, and complexity analysis
- Experience using AI-assisted development tools in academic or professional settings
- Speak, write, and read fluently in English
- Experience from previous technical internship(s) or demonstrated project experience
- Strong problem decomposition, problem-solving, and analytical skills
- Experience with one or more of the following: Cloud platforms (preferably AWS), Database systems (SQL and NoSQL), Contributing to open-source projects, Version control systems, Debugging and troubleshooting complex systems
- Demonstrated ability to learn and adapt to new technologies quickly
- Demonstrated ownership and initiative in seeing work through from design to operation
- Basic understanding of software development lifecycle (SDLC)
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Amazon runs the largest online store in the United States and rents cloud computing to businesses and governments through Amazon Web Services. AWS pioneered renting computing power over the internet, and Amazon built its own delivery network to get orders to customers quickly. Shoppers buy from Amazon and from independent sellers on its store, and Prime members pay a subscription for fast free shipping, streaming video and music, and other perks. AWS rents out computing power, storage, databases, and AI tools so companies can run software without owning servers, and Amazon also makes Kindle e-readers and Echo speakers with the Alexa assistant. Jeff Bezos founded Amazon in 1994, and it is based in Seattle, Washington.
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