Software Engineer II - Personalization & Big Data

Amazon; Seattle (WA); On-site; USD 143,700 - 194,400; Full time

Job summary

Amazon's Personalization team in Seattle is seeking a Software Development Engineer II to design, build, and maintain scalable data-driven software for recommendations that delight customers. This role combines hands-on engineering with leadership and ownership of critical data pipelines.

You will collaborate with ML, data, and product partners, contribute to architecture, review code, mentor teammates, and ship high-quality features on schedule in a fast-paced environment.

Qualifications

• 3+ years of non-internship professional software development experience.
• 2+ years of non-internship design or architecture experience.
• Experience programming with at least one software programming language.
• Knowledge of professional software engineering and SDLC best practices.
• Knowledge of ML/LLM fundamentals, transformer architecture, training/inference lifecycles.

Responsibilities

• Design, develop, and maintain scalable software solutions to process big data.
• Collaborate with diverse stakeholders to envision, design, develop, and launch new software.
• Utilize technology to solve complex problems and deliver high-quality code on schedule.
• Demonstrate proficiency in data structures and algorithms and make informed design decisions.
• Clarify requirements, estimate timelines, and apply effective design approaches.
• Conduct code reviews and provide guidance to team members.
• Drive continuous improvement in software quality and maintainability.
• Mentor and lead developers, fostering curiosity and technical understanding.

Skills

Software development

Design/architecture

Programming languages

SDLC & best practices

ML & LLM fundamentals

Education

Bachelor's degree in computer science or equivalent

Tools

Git

CI/CD

GPU AI acceleration

Job description

Amazon's Personalization team in Seattle is seeking a Software Development Engineer II to design, build, and maintain scalable data-driven software for recommendations that delight customers. This role combines hands-on engineering with leadership and ownership of critical data pipelines.

You will collaborate with ML, data, and product partners, contribute to architecture, review code, mentor teammates, and ship high-quality features on schedule in a fast-paced environment.