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Amazon Software Development Engineer II, Sponsored Brands Advertising in Seattle, Washington

Description

About Amazon Ads:

Amazon Ads operates at the intersection of e-commerce and advertising, offering a rich array of digital advertising solutions with the goal of helping our customers find and discover anything they want to buy. We help advertisers of all types to reach Amazon customers on Amazon.com, across our other owned and operated sites, on other high quality sites across the web, and on millions of mobile devices. We start with the customer and work backwards in everything we do, including advertising. If you’re interested in joining a rapidly growing team working to build a unique, world-class advertising group with a relentless focus on the customer, you’ve come to the right place.

About Our Team:

Sponsored Brands is on a mission to make Amazon the best in class destination for shoppers to discover, engage and build affinity with brands while making shopping delightful and personal.

Our team scope is broad and impactful. Our team works on both advertiser and shopper facing SB distributed services, which serve billions of Amazon shoppers and millions of Advertisers internationally. We are working on multiple cross-org architectural and business projects with highest impact and visibility – all are critical, forward-looking, strategic opportunities for Amazon. Our vision is to make Amazon the best in class destination for shoppers to discover, engage and build affinity with brands, making shopping beautiful, delightful, & personal, while allowing advertisers to sustainably grow their brand and business at scale with our advertising product(s).

About This Role:

We are seeking an experienced and innovative software engineer to join our team and drive new initiatives in ad technology. You should be passionate about defining product technical strategies and architectures, and ready to collaborate with business partners to design, implement, and launch cutting-edge ad solutions. You will be responsible for developing highly scalable distributed systems that guarantee availability, scalability, and low latency. We're looking for someone with strong technical skills and proven experience leading large-scale distributed services. The ability to thrive in an entrepreneurial environment, handle ambiguity, and manage competing priorities is essential. This role offers a unique opportunity to work at the intersection of e-commerce, advertising, and state-of-the-art machine learning techniques. If you're excited about making a lasting impact in the advertising space and possess the skills to excel in a fast-paced, innovative environment, we want to hear from you.

Key job responsibilities

• Design and develop highly scalable services processing millions of daily requests.

• Solve complex software challenges using state-of-the-art technology.

• Translate functional requirements into robust, scalable solutions.

• Evaluate and select appropriate software products and tools.

• Gain exposure to search, advertising, and e-commerce platform technologies.

• Collaborate with data scientists and product managers on machine learning experiments.

• Implement end-to-end solutions to improve predictive models and infrastructure.

• Establish best practices and drive improvements in design, development, and operations.

• Mentor junior engineers in design, coding, troubleshooting, and operational excellence.

• Participate in Amazon's Software Development Community through MeetUps, Hackathons, and Conferences.

Basic Qualifications

  • 3+ years of non-internship professional software development experience

  • Experience programming with at least one software programming language

  • 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience

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 programming with at least one modern language such as Java, C++, or C# including object-oriented design

  • Sharp problem solving skills and ability to convert ambiguous requirements to structured solutions and actions

  • Experience communicating requirements and technical designs with both technical and non-technical audience including leadership

  • Experience with Amazon Web Services, Machine Learning & Advertising is a plus

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.

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 $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.

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