Front End Engineer, Personalization

Published date Posted on Indeed on Jun 25, 2022 (50 d ago)
Professional non-internship experience with front end, web or mobile software development using JavaScript, HTML and CSS
Job summary The Personalization team is behind features such as "Buy Again" and "Recommended For You". We are starting a new initiative where we will make these recommendations even more personalized by understanding more about the interests and hobbies of the individual family members that make up a household. We're developing new core recommendation initiatives that are site-wide, so your work will be highly visible and impact hundreds of millions of customers! You'll be improving the personalized shopping experience for Amazon customers, making it even more relevant and enjoyable. The features will be displayed in the Amazon navigation bar, across every page of the Amazon website and mobile app. You'll be building solutions from scratch, capable of handling the volume of traffic we receive on a daily basis. This is a great opportunity to be involved in the design and implementation of those projects by coming in at the ground level. Key job responsibilities About you: You are a front-end engineer with a knack of building highly responsive UIs and highly available services that can make a big impact on customers. You love working with front-end technologies, like React and TypeScript, and building responsive, efficient applications. You understand the importance of scalability when designing solutions. You have great problem solving skills. You love keeping abreast of the latest technology and use it to help you innovate. You have strong leadership qualities, great judgment, clear communication skills, and a track record of delivering great products. You thrive on tackling challenging problems, and love the feeling of accomplishment when you succeed! About our organization: Amazon’s Personalization organization leverages our expertise 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 hundreds of experiments each year and our work has revolutionized e-commerce with features such as “Customers Who Bought Also Bought” and “Recommended for You”. We care deeply about our customers, as well as the well being and growth of our team members. Amazon’s internal surveys regularly recognize us as one of the best engineering organizations to work for in the company, with visible high-impact work, low operational load, respectful work/life balance, and the continual opportunity to learn and grow. This is a track record we are proud of and will continue to uphold. We are looking for creative and innovative leaders with a similar penchant for deeply-technical problem solving and the ability to lead, mentor, and deliver while upholding Amazon’s Leadership Principles. About our team: We have the autonomy to decide where we can have the most impact and get down to building. Our projects are born from the ground up and engineers are encouraged to pitch ideas and lead them to completion. Our primary mission is to enhance the site-wide shopping experiences: We use our expertise in machine learning and big data to analyze a trove of customer data to uncover opportunities to improve customer experience across the site. We move fast by validating prototypes and running experiments. We quickly reject ideas that don’t work and double down on the ones that do.
  • Experience with front-end frameworks, including React
  • Experience with lambda, API Gateway, and DynamoDB or DS
  • Experience with CDK

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Workers in New York City who perform in-person work or interact with the public in the course of business must show proof they have been fully vaccinated against COVID or request and receive approval for a reasonable accommodation, including medical or religious accommodation.

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