SDE Intern: Build Scalable AI-Driven Systems

Amazon Inc.; Región Centro; On-site; MXN 201,000 - 312,000; Full time

Job summary

Amazon Inc. is offering a Software Development Engineer Intern role through Amazon University Talent Acquisition.

As an SDE-I, you will own the lifecycle of your code—from design to deployment—working on scalable services that impact millions of customers worldwide. You will collaborate with cross-disciplinary Amazonians, receive mentorship, and contribute to production-ready systems in a fast-paced, customer-obsessed environment.

Qualifications

• Enrolled in or completed a Bachelor's degree in CS/CE/Data Science, Electrical Engineering, or related field.
• Knowledge of programming languages such as C/C++, Python, Java or Perl.
• Strong fundamentals in OOP, OS, algorithms, data structures and complexity analysis.
• Experience using AI-assisted development tools in academic or professional settings.

Responsibilities

• Collaborate with cross-disciplinary teams to design, build, and operate innovative products and services.
• Break down complex problems into solvable components before implementation.
• Develop scalable, reliable services with distributed-systems scope.
• Contribute to code reviews and provide constructive feedback.
• Create clear and accurate technical documentation.
• Utilize GenAI and AI-powered tools to enhance development productivity and validate AI-generated code.
• Write clean, maintainable code following best practices.
• Participate in CI/CD in an agile environment with on-call duties.
• Demonstrate operational excellence through monitoring and troubleshooting production systems.

Skills

C/C++

Python

Java

Perl

AI tools

Education

Bachelor's degree in Computer Science or related field

Tools

AWS

SQL/NoSQL

Git

CI/CD

Job description

Amazon Inc. is offering a Software Development Engineer Intern role through Amazon University Talent Acquisition.

As an SDE-I, you will own the lifecycle of your code—from design to deployment—working on scalable services that impact millions of customers worldwide. You will collaborate with cross-disciplinary Amazonians, receive mentorship, and contribute to production-ready systems in a fast-paced, customer-obsessed environment.