2027 (US)

About the Role

At Amazon, your career accelerates, twists, and challenges you. You'll build products and services that reach millions and shape how people live, work, and connect. You'll work with world-class tools, global platforms, and systems built to operate at an extraordinary scale. You'll move fast, experiment, and launch solutions that matter. With endless opportunities to explore across teams and roles, you'll learn quickly, apply what you know, and discover skills you didn't know existed. This is an environment designed for builders who want to see the impact of their work in the world.

Key Responsibilities

• Collaborate and communicate effectively with experienced cross-disciplinary Amazonians to design, build, and operate innovative products and services.
• Participate 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.
• Conduct 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 judgment 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.
• Participate in operational responsibilities including on-call duties.
• Demonstrate operational excellence through monitoring, troubleshooting, and resolving production issues.

Requirements & Tech Stack

• Currently has, or is in the process of obtaining a bachelor's or master’s degree in Computer Science, Computer Engineering, Data Science, Information Systems, or related STEM fields.
• 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.
• Experience using AI-assisted development tools in academic or professional settings.

Qualifications

• 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.
• 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.