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Amazon SDE II, Partner Data Foundation in Seattle, Washington


Are you excited about driving business growth for millions of sellers through application of Machine Learning? Do you thrive in a fast-moving, large-scale environment that values engineering excellence as well as sound scientific practices? We are looking for experienced software developers build the next level of intelligence that will help Amazon Marketplace Sellers to succeed and grow their businesses.

Amazon Marketplace enables sellers to put their products in front of hundreds of millions of customers and offers sellers the tools and services needed to make e-commerce successful, efficient and simple. Our team is responsible for building the core intelligence, insights, and algorithms that support a broad range of products and features that Amazon Marketplace Sellers depend on. We are tackling large-scale, challenging problems such as helping sellers to prioritize business tasks and evaluate their business growth by bringing together petabytes of data from diverse sources across Amazon.

We need your experience and expertise to develop new and enhance existing platforms and tools that support delivery of ML models in large scale production systems. These systems will support a broad range of experiences that enable Amazon sellers to grow their businesses worldwide. We’re looking for someone with superior technical knowledge in current service-oriented development technologies. Successful members of this team will collaborate effectively with scientists, economists, internal end-users, and cross-functional software development teams to solve problems, implement new demand generation solutions, and deliver successfully against high operational standards of system availability and reliability. We look for engineers who are excellent communicators, self-motivated, flexible, hard-working, and who like to have fun.

Key job responsibilities

· Develop production software systems utilizing advanced algorithms to solve business problems.

· Analyze and validate data using data, algorithms, and statistical tools to ensure high data quality and reliable insights.

· Proactively identify interesting areas for deep dive investigations and future product development.

· Design and execute experiments, and analyze experimental results in collaboration with Product Managers, Business Analysts, Economists, and other specialists.

· Partner with data engineering teams across multiple business lines to improve data assets, quality, metrics and insights.

· Leverage industry best practices to establish repeatable applied science practices, principles & processes.

A day in the life

This opportunity is perfect for highly motivated and talented software engineers who want to design and architect systems, expand their technical depth and breadth while defining and driving key aspects of the builder experience in Partner Foundations org.

Basic Qualifications

  • 3+ years of non-internship professional software development experience

  • 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience

  • Experience programming with at least one software programming language

Preferred Qualifications

  • 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience

  • Bachelor's degree in computer science or equivalent

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

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.