Software engineer - Recommender systems, Distributed Systems, Big Data, Backend engineer

Would you like to work on a greenfield project that'll help improve the shopping experience of millions of Amazon customers? We’re building a brand new team and you’ll get to drive significant portions of the technical roadmap by getting in early. This is a unique opportunity that combines the ability to build exciting, new user experiences for Amazon's customers, with the opportunity to work with Big Data and build mission critical backend infrastructure to provide the best personalized experience for hundreds of millions of Amazon's customers.

About you:

You are a software engineer with a knack of building highly scalable distributed systems that can make a big impact on customers. 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 enjoy working hard, having fun, and making history!

About our organization:

Amazon’s Personalization organization is a high-performing group that leverages Amazon’s expertise in machine learning, big data, and 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 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 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 sitewide 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.

Basic Qualifications

· Programming experience with at least one modern language such as Java, C++, or C# including object-oriented design
· 1+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems.
· 2+ years of non-internship professional software development experience
While we’re happy to accommodate remote work in the short term, all roles require eventual relocation to Irvine, CA.

Preferred Qualifications

· Master’s degree in Computer Science, Mathematics, or a related technical field; or equivalent combination of technical education and work experience.
· A strong sense of curiosity and willingness to learn quickly, building knowledge and skills that this role requires.
· Experience with the Scrum methodology (or similar alternatives) for agile software development.
· Experience designing software architectures for scalability, reliability and performance.
· Ability to handle multiple competing priorities in a fast-paced environment.

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.