Amazon

Software Development Engineer , Worldwide Amazon Stores Finance Technology

Seattle, WA US
USD 129k - 223k
Microservices API Java SQL Python React Machine Learning AWS
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Description
- 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.
Our team is responsible for building technical solutions for multi-billion dollar, World Wide Operational Cost analytics & planning using Big Data, Machine Learning, AWS technologies and Microservices Architecture. We are currently looking for a full stack developer who will work with the team to build technical APIs and web based solution to allow one-click analysis over trillions of events impacting multi-billion dollar decisions. Successful candidates will work as part of a team to expand current solutions by working with a broad cross-section of the Amazon organization and spanning wide range of technologies.

As a Software Development Engineer, you will help solve a variety of technical challenges and build highly scalable solutions to solve unique problems for World Wide business teams. You will help solve our BigData problems making use of AWS services, design enterprise scaled systems, develop and deploy highly scalable and reliable distributed services. You will tackle challenging, novel situations every day. You'll work in degree of ambiguity that’s higher than most projects and solve problems that, frankly, haven’t been solved at scale before. Along the way, we guarantee that you’ll learn a ton, have fun and make a huge impact.

On a day-to-day basis, you'll be part of a small, close-knit team of engineers that are agile, data driven, and highly collaborative. You’ll help analyze cost patterns and models, propose ideas and design solutions to some of the most complex problems.

Key Responsibilities:

- Primary role is a software engineer designing and building user-friendly and intuitive applications, build BigData systems that crunch TB scale of data to generate actionable reports for Financial Analysts
- Drive best practices and engineering excellence
- Development of code in OO languages (Java), query languages (SQL), scripting languages (Python) and react based FE tech stack
- Analyze and solve problems at their root, stepping back to understand the broader context.
- Respond to high priority requests from senior business leaders
- Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support

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