Amazon

Software Development Engineer, AWS Marketplace

Austin, TX US
AWS Machine Learning API
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.
AWS Marketplace (https://aws.amazon.com/marketplace/) is an online store that helps customers find, buy, and immediately start using trusted software and services that run on the AWS Cloud. We revolutionize the way software is sold and procured, just like how Amazon continues to redefine retail purchasing.

We are one of the fastest-growing teams in AWS, and interface with a diverse internal and external community of software service sellers over a wide variety of technologies, with a rapidly growing audience of buyers from different market segments. AWS Marketplace manages the state of the art complex infrastructure to provide a smooth experience for sellers and buyers to buy various software and services for different domains like infrastructure software, machine learning, and IoT.

Solving Energizing and Interesting Technical Problems at a rapid pace
SDEs in the AWS Marketplace team play a key role in solving complex technical challenges presented by the AWS scale. You will apply Large-scale computing, Distributed systems, data pipelining, workflow orchestration, precomputation, restful APIs, and statistical algorithm techniques to solve the problems. To be successful, you will need to be able to keep the long-term objectives in mind while guiding the team through short-term obstacles. You are comfortable with a degree of ambiguity and are always open to identifying alternative paths.

Sales, Marketing and Global Services (SMGS)
AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.

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About the team
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