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Sr Software Dev Engineer - Old Toronto, Canada - Amazon
Description
Sr Software Dev Engineer - Technical Lead, Detail Page Allocation and Pricing
The Sponsored Products Allocation and Pricing Team is responsible for auctions that drive a multi-billion dollar advertising program. We use data-driven approaches to make trade-offs between publisher, advertiser, and shopper concerns as a part of the Sponsored Products Ads program. With a broad mandate to experiment and innovate using data science, big data and machine learning, we are growing at an unprecedented rate with a seemingly endless range of new opportunities. Our vision is to delight customers with highly relevant ad experiences that help in product discovery, while driving traffic and sales for advertisers.
As a Senior SDE on the Sponsored Products Allocation and Pricing Team, you'll have a unique opportunity to build our next generation platform. You will leverage vast amounts of data and machine learning techniques to optimize auctions for Sponsored Products at Amazon. You will work with Product Managers, Economists and Scientists to solve complex problems at Amazon-scale, bringing your engineering skills together with the powers of AWS to launch solutions that will have direct customer impact. You will mentor and lead engineers as they deliver on your vision, setting a high bar for success and providing feedback to aid in their growth.
Key job responsibilities
- Serve as a technical lead on our highest impact, cross-functional projects
- Exert technical influence over team members and partner teams by sharing your deep knowledge and experience
- Ensure the quality of architecture and system design
- Build system components and machine learning infrastructure to optimize allocation and pricing of Sponsored Products on the Detail Page
- Integrate your work with high volume and low latency distributed systems
- Measure the impact of your work through rapid experimentation
- Drive innovation through proof of concepts to spin-off new initiatives
- Deal well with ambiguous/undefined problems; ability to think abstractly
About the team
Amazon is investing heavily in building a world-class advertising business, and we are responsible for defining and delivering a collection of self-service performance advertising products that drive discovery and sales. We deliver billions of ad impressions and millions of clicks daily and break fresh ground to create world-class products. We are highly motivated, collaborative, and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities. Our systems and algorithms operate on one of the world's largest product catalogs, matching shoppers with advertised products with a high relevance bar and strict latency constraints.
We are open to hiring candidates to work out of one of the following locations:
Toronto, ON, CAN
BASIC QUALIFICATIONS
5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
PREFERRED QUALIFICATIONS
5+ 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, disability, age, or other legally protected status. If you would like to request an accommodation, please notify your Recruiter.
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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.
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