Software Engineer: AI-Driven, Scalable Systems

Amazon Inc.; Redmond (WA); On-site; USD 129,000 - 139,000; Full time

Job summary

Amazon.com Services LLC is seeking software engineers who will design, build, and operate scalable services at scale. You will collaborate across teams to deliver high-impact solutions and contribute to a culture of operational excellence.

The role emphasizes using GenAI and AI-powered tools to improve development efficiency while ensuring correctness and robust documentation. A strong foundation in CS and hands-on coding are essential.

Qualifications

• Basic Qualifications: 18+ years old; at least one general-purpose language (Java, Python, C++, C#, Go, Rust, TypeScript); data structure/algorithm/OOD basics; experience with AI-assisted development tools; pursuing or holding a degree in CS/CE/DS/IS or related STEM.
• Preferred Qualifications: internships or project experience; familiarity with AI development tools, cloud platforms (preferably AWS), databases, open-source contributions, version control, debugging complex systems; strong problem-solving and communication skills.

Responsibilities

• Collaborate with cross-disciplinary teams to design, build, and operate products that delight customers.
• Break down complex problems into solvable components and contribute to scalable services.
• Conduct code reviews, write clean, maintainable code, and contribute to technical documentation.
• Utilize GenAI tools to boost productivity while validating and integrating AI-generated code.

Skills

Java

Python

C++

Go

TypeScript

Education

Bachelor’s or Master’s in Computer Science/Engineering/Data Science or related STEM field

Tools

AWS

Git

CI/CD

SQL/NoSQL databases

Job description

Amazon.com Services LLC is seeking software engineers who will design, build, and operate scalable services at scale. You will collaborate across teams to deliver high-impact solutions and contribute to a culture of operational excellence.

The role emphasizes using GenAI and AI-powered tools to improve development efficiency while ensuring correctness and robust documentation. A strong foundation in CS and hands-on coding are essential.