Amazon Software Development Engineer Intern Student Veteran Opportunity 

United States, Washington, Seattle 

983855869

Amazon internships are full-time (40 hours/week) for 12 consecutive weeks with start dates between May 2025 and June 2025. Applicants should have a minimum of one quarter/semester remaining in their studies after their internship concludes.As an intern, you will be matched to a manager and a mentor. You will have the opportunity to influence the evolution of Amazon technology and lead mission critical projects early in your career. Your design, code, and raw smarts will contribute to solving some of the most complex technical challenges in the areas of distributed systems, data mining, automation, optimization, scalability, and security – just to name a few.
Key job responsibilities
• Collaborate with experienced cross-disciplinary Amazonians to conceive, design, and bring innovative products and services to market.• Design and build innovative technologies in a large distributed computing environment, and help lead fundamental changes in the industry.• Create solutions to run predictions on distributed systems with exposure to innovative technologies at incredible scale and speed.• Build distributed storage, index, and query systems that are scalable, fault-tolerant, low cost, and easy to manage/use.• Ability to design and code the right solutions starting with broadly defined problems.• Work in an agile environment to deliver high-quality software.

- Are enrolled in a Bachelor's degree or above in Computer Science, Computer Engineering, Data Science, Electrical Engineering, or majors relating to these fields with a conferral date of December 2025-June 2027
- Experience with at least one modern language such as Java, Python, C++, or C# including object-oriented design
- Knowledge of computer science fundamentals such as object-oriented design, operating systems, algorithms, data structures, and complexity analysis

- Knowledge of programming languages such as C/C++, Python, Java or Perl
- Experience with distributed, multi-tiered systems, algorithms, and relational databases
- Experience in optimization mathematics such as linear programming and nonlinear optimization