Experience Inc. Jobs

Description

Amazon’s eCommerce Foundation (eCF) organization is responsible for the core components that drive the Amazon website and customer experience. Serving millions of customer page views and orders per day, eCF builds for scale. As an organization within eCF, the Business Data Technologies (BDT) group is no exception. We collect petabytes of data from thousands of data sources inside and outside Amazon including the Amazon catalog system, inventory system, customer order system, page views on the website and Alexa systems. We also support Amazon subsidiaries such as IMDB and Audible. We provide interfaces for our internal customers to access and query the data hundreds of thousands of times per day, using Amazon Web Service’s (AWS) Redshift, Hive, Spark and Oracle. We build scalable solutions that grow with the Amazon business.

BDT is growing, and the data processing landscape is shifting. Our data is consumed by thousands of teams across Amazon including Research Scientists, Machine Learning Specialists, Business Analysts and Data Engineers. BDT team is building an enterprise-wide Big Data Marketplace leveraging AWS technologies. We enable teams at Amazon to produce analytical data in any form of storage (S3, DynamoDB, Aurora, etc.) and process that data using any type of compute environment such as EMR/Spark, Redshift, Athena, and others via a common bus. We are developing innovative products including the next-generation of data catalog, data discovery engine, data transformation platform, and more with state-of-the-art user experience. We’re looking for top engineers to build them from the ground up.

This is a hands-on position where you will do everything from designing and building extremely scalable components and cutting-edge features to formulating strategy and direction for Big Data at Amazon. You will also mentor junior engineers and work with the most sophisticated customers in the business to help them get the best results. You need to not only be a top software developer with excellent programming skills, have an understanding of big data and parallelization, and a stellar record of delivery, but also excel at leadership and customer obsession and have a real passion for massive-scale computing.

Your responsibilities will include:

• Keeping your finger on the pulse of the constantly evolving and growing fields of data and machine learning

• Translation of complex functional and technical requirements into detailed architecture and design

• Delivering systems and features with top-notch quality, on time

• Stay current on technical knowledge to keep pace with rapidly changing technology, and work with the team in bringing new technologies on board

Come help us build for the future of Data!

Key job responsibilities

This L5 SDE in the orchestration team would lead product and tech initiatives within the team and beyond by partnering with internal and external stakeholders and teams. This L5 SDE would need to come up with technical strategies and design for complex customer problems by figuring out of box solutions to enable faster roll outs. They will deliver working software systems consisting of multiple features spanning the full software lifecycle including design, implementation, testing, deployment, and maintenance strategy. The problems they need to solve do not start with a defined technology strategy, and may have conflicting constraints. As technology lead in the team, they will review other SDEs’ work to ensure it fits into the bigger picture and is well designed, extensible, performant, and secure.

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 computer science fundamentals (object-oriented design, data structures, algorithm design, problem solving and complexity analysis) experience

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.

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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.