Amazon.com Services LLC

1+ years of experience contributing to the system design or architecture (architecture, design patterns, reliability and scaling) of new and current systems.
2+ years of non-internship professional software development experience
Programming experience with at least one software programming language.

BS in Computer Science or equivalent.
5+ years of industry experience.
4 years of programming in one or more object-oriented languages like Java/Python/C#/Ruby/Objective C/C++
Experience with data modeling, data warehousing, and building ETL pipelines.
Experience in SQL
Experience building scalable infrastructure software or distributed systems for commercial online services.

Job summary
Interested in Amazon Alexa, Machine Learning and Artificial Intelligence? We’re building the speech and language solutions behind Amazon Alexa and other Amazon products and services. Come join us!

Our Alexa spoken language understanding analytics team (part of Alexa A.I.) is seeking a talented, self-directed Software Development Engineer to help us pioneering new machine learning tools and processes through an iterative research and development cycle. You will build scalable, self-serve applications grounded in data science techniques for use across the Alexa Machine Learning organization.

You will be responsible for data pipelines, data warehousing, and future-looking/strategic data modeling for the analytics platform’s day to day and three year plan roadmap. You will build and optimize logical data model and data pipelines for difficult, big data datasets in the Alexa Spoken Language Understanding space, powering customized analytics software powering thousands of users and investigations per month. Software Development Engineer will be accountable for ongoing data quality, efficiency, testing, and maintenance, and will be required to work independently within our team and across other teams to source, optimize, and warehouse the right data for our customers.

You will influence on our overall strategy as you work with a small team of subject matter experts, engineers, and product managers to define features, system architecture, best practices, and a long-term architecture and software strategy for the analytics suite.

Creating reliable, scalable, and high performance services and data warehouses requires exceptional technical expertise, a sound understanding of the fundamentals of Data & Computer Science, and practical experience building large-scale distributed systems. The ideal candidate will be a self-starter who can dive into a project with limited guidance and is able to design and implement inventive, simple solutions to complex problems. He or she will be passionate about new technologies and have a track record of delivering valuable software features and products in a fast-paced, highly iterative environment. A commitment to team work, hustle, and strong communication skills (to both business and technical partners) are absolute requirements.

Key job responsibilities

Design, implement, and operate large scale 24×7 services using Java, Python, and AWS services such as EC2, S3, Kinesis, Lambda, DynamoDB, and many more.
Responsible for the development and maintenance of key back-end components, APIs, data pipelines and data warehouses.
Will work with business and technical stakeholders to determine end-to-end system design and overall technical strategy
Will work with other team members to jointly own and optimize the Alexa AI Analytics data pipelines
Will work with other team members to investigate design approaches, prototype new technology and evaluate technical feasibility.
Support and implement operational excellence best practices. Make enhancements that improve data processes (e.g., data auditing solutions, management of manually maintained tables, automating, ad-hoc or manual operation steps).
Help your team self-organize and create software development processes and practices that will work best for you and your teammates.
Will work in an Agile/Scrum environment to regularly deliver high quality software that has a measurable customer value
Build relationships with your customers, partner teams, and the engineers on your team.

Master’s degree in a quantitative/technical field (e.g. Computer Science, Statistics, Engineering)
Demonstrated ability to achieve stretch goals in a highly innovative and fast paced environment.
Analytical abilities and proven design skills.
Mastery of the tools of the trade, including a variety of modern programming languages (Java, JavaScript, C/C++, Objective C, Python, Ruby, C)
Experience developing cloud software services and an understanding of design for scalability, performance and reliability.
Experience working with enterprise reporting systems, data analytics.
Experience building Machine Learning pipelines for pattern recognition, clustering.
Development experience defining, developing and maintaining REST based interfaces.
Experience with data querying and ETL technologies: SQL, AWS Glue, Athena, Presto
Experience optimizing query performance in distributed systems
Experience building and maintaining production ETL pipelines: AWS StepFunctions, Glue workflows, Airflow, Luidi, etc.
Excellence in technical communication with peers and non-technical cohorts.
Strong sense of ownership, urgency, and drive.

For occasional support in productionizing Machine Learning models and pipelines:

Programming languages: Python, Java
Familiar with AWS.

Regular and Reduced Time (F, R)* jobs based in Colorado and virtual jobs where work can be performed in Colorado:

The pay range for this position in Colorado is $122,200-160,000 / yr; however, base pay offered may vary depending on job-related knowledge, skills, and experience. A sign-on bonus and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. This information is provided per the Colorado Equal Pay Act. Base pay information is based on market location. Applicants should apply via Amazon’s internal or external careers site.

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.

Cambridge, MA

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