Software Development Engineer, Amazon

- 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
- 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 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.
The Third-Party Software Compliance Engine and Inventory and team (CEIT, for short) is building a productivity app intelligence platform to understand not only what Amazonians use to collaborate, but why, with whom, and on what. This gives us a data-driven path to improving these tools, so they work together seamlessly, supporting over a million Amazonians in delighting our customers every day. Our data and analysis informs enterprise-wide vendor relationships, financial management, security, and feature prioritization efforts.

You'll find experience with these tools, techniques and languages helpful in this role:
- Modern data science tools (either the Python or R ecosystems, Jupyter Lab)
- Database query tools and languages (SQL and variants)
- Python and Typescript
- Experience and/or interest in data analysis, visualization, science, and engineering

This is a data-focused, and truly full-stack role: you'll own end-to-end solutions and become an expert on not just getting data, processing it, and storing it, but also understanding its meaning.

If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!

Key job responsibilities
As a Software Development Engineer on the 3P-CEIT team, you will:
- Identify data sources that improve our understanding of tool use, work with the owning teams for that data to understand it, and build tooling to collect, summarize, and cross-reference it with our existing datasets
- Build and enhance our data pipelines to effectively process the feeds we receive at massive scale, using a 100% serverless, AWS-native infrastructure

- Explore our datasets to drive direct insights, and build models for use in machine learning, categorization and prediction.
- Construct fully-automated build pipelines.
- Detect anomalies in the data so our published data products earn trust every day.

A day in the life
On a given day, you might:

- Work with a new network telemetry dataset, consider how it aligns with data we already collect, and collaborate with other engineers on the team to design a visualization chart or table that makes the data useful to a wide audience.
- Use your understanding of a dataset to find unusual data that doesn't fit, and design a way to correct it or find a root cause.
- Help a procurement team to negotiate a contract on a productivity application by providing a deep understanding of how it's used at Amazon.

About the team
The ICE team is at the center of the operational life of the third-party applications the organization supports. We work with and support a wide variety of business teams - financial, procurement, legal, engineering, and senior leadership. We not only report on what productivity tools are in use, but actively manage financial efficiency. We gather deep understanding that tells us why tools are best-fit, and support strategic decisions on how to improve them.

On our team you get to work on every part of the data stream and value chain.