DESCRIPTION
Amazon Advertising is one of Amazon's fastest growing and most profitable businesses. Amazon's advertising portfolio helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth.
The Team:
Forecasting team builds end-to-end solutions including data pipelines, machine learning models, large scale data structures and indexes, and data visualizations. We match supply (human eyeballs) and demand (advertisers interests) in thousands of audience targeting dimensions, and recommend optimal prices.
The Role:
The team is seeking an experienced engineer, who will build and support backend data pipelines, indexing systems, services and APIs. These systems are to be used by hundreds of internal and tens of thousands of self-serve external users. To be successful in this role, you will need to have a passion for backend, data and micro-services architecture and engineering.
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 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
- Experience with Amazon Web Services
- Experience mentoring junior engineers and interns
- Experience building and managing large scale 24x7 infrastructure - with demonstrated results building high throughput distributed systems in large-scale distributed environments
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, disability, age, or other legally protected status. If you would like to request an accommodation, please notify your Recruiter.