Software Engineer Go, Python, TS - Remote

Amazon.com, Inc.

Seattle, WA, United States

3 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Job source

www.careerjet.com

Tech stack

Microsoft Windows Artificial Intelligence Software Documentation Collaborative Software Software Design Patterns Linux Python (Programming Language) Software Architecture TypeScript

Requirements

Expert-level proficiency in Go, with substantial hands-on project experience.
Strong command of Python and TypeScript, with the ability to write clean, idiomatic code in both languages.
Excellent written and verbal communication skills, with a keen focus on articulating technical concepts clearly.
Familiarity with software architecture, design patterns, and modern development workflows.
Prior experience reviewing or analyzing code for correctness, efficiency, and clarity.
Exposure to code documentation best practices and collaborative software projects.
Interest in contributing to AI and machine learning advancements; direct AI experience is a plus but not required., Are you experienced in managing Windows and Linux systems with a passion for building highly-available infrastructure at massive scale? Join us in driving cloud innovation and auto…

Benefits & conditions

Design and implement code solutions using Go, Python, and TypeScript to simulate real-world development scenarios for AI model training.
Review, analyze, and critique sample code and technical materials, providing detailed written feedback that enhances AI understanding of software engineering concepts.
Generate high-quality code samples, unit tests, and documentation to support a wide range of AI training use cases.
Identify edge cases, best practices, and common pitfalls in software design and development to help refine model outputs.
Contribute to discussions and collaborative reviews that focus on effective communication of complex technical ideas.
Refine prompts and queries that will be used to evaluate and improve AI-generated code outputs.