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.
• 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 including on-call duties.
• Demonstrate operational excellence through monitoring, troubleshooting, and resolving production issues.
- Are enrolled in or have completed a Bachelor's degree in computer science, computer engineering, or related field
- Bachelor's degree
- Speak, write, and read fluently in English
- Are 18 years of age or older
- Are enrolled in or have completed a Master's degree in computer science, computer engineering, or related field
- 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 with distributed, multi-tiered systems, algorithms, and relational databases
- Experience in optimization mathematics such as linear programming and nonlinear optimization
- Bachelor's degree within last 12 months in engineering or equivalent STEM (Science, Technology, Engineering and Mathematics) field
