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Description

Interested in working at the intersection of high-scale engineering, Machine Learning and Applied Science?

At Amazon Advertising, we are developing state-of-the-art large-scale computational advertising and real-time application. The Bidding and Pacing Engineering team develops algorithms and high performance, large-scale distributed systems to optimize ad selection, bidding and campaign performance. Our systems process billions of ad impressions daily from across the internet to power our display advertising algorithms. Our engineers work with machine learning scientists, economists and product managers on high impact initiatives for Amazon’s Display Advertising.

As an engineer on the team you will design and develop products that are at the heart of advertising – products that determine how billions of impressions are allocated to advertisers and how much advertisers pay for those impressions. You will have responsibility to help define requirements, create software designs, implement code to these specifications, define continuous integration testing and support products while deployed and used by our customers. You will have complete ownership of technology choices, architecture, A/B testing for your features, code deployments into production environment and operations for the products you own. Your team will include Applied scientists, product managers and other high performing engineers. We’re looking for SDEs interested in developing real-time bid and optimization algorithms on large scale systems that process tens of billions of requests/ day.

Key job responsibilities

You will have responsibility to help define requirements, create software designs, implement code to these specifications, define continuous integration testing and support products while deployed and used by our customers.

A day in the life

You will work closely with Applied Scientists, Data Scientists, Product Managers and high performing Software Engineers to simulate campaign optimization strategies and implement the strategies in large scale systems.

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 an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/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.