Software Development Engineer

2 months ago


Beijing, Beijing, China Amazon (China) Holding Company Limited - D24 Full time
About the Role

We are seeking a highly skilled Software Development Engineer to join our Japan Marketing Automation team at Amazon (China) Holding Company Limited - D24. As a key member of our team, you will be responsible for designing, developing, testing, and deploying large-scale data mining solutions, distributed machine learning systems, and modern client experiences across webpages, mobile applications, and other shopping mediums.

Key Responsibilities

- Design and develop large-scale data mining solutions, distributed machine learning systems, and modern client experiences
- Collaborate closely with teams of software engineers, applied machine learning scientists, product managers, user interface designers, and others to influence our overall strategy and define the team's roadmap
- Drive the system architecture, spearhead best practices, and develop junior engineers

Requirements

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture experience of new and existing systems
- Experience programming with at least one software programming language

About the Team

Our team is a high-performing group that leverages Amazon's solution in large scale language model for processing shopping data, and build highly available distributed systems to deliver the best shopping experiences for our customers. We work full stack, from foundational backend systems to future-forward user interfaces. Our team's culture is centered on rapid prototyping, rigorous experimentation, and data-driven decision-making. We run large number of experiments each year and our work has revolutionized e-commerce features on Amazon home page, category page, deal page and high velocity event pages with up to 10 billion US dollars business contribution. We care deeply about our customers, as well as the well-being and growth of our team members. We focus on visible high-impact work, reduce operational load with automation, and are respectful work-life balance, and continual opportunity for people to learn and grow.

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