- 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.
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.
Would you like to shape the future of the video entertainment industry for movies, TV and live sports events? Does solving complex problems within large scale systems excite you? If you answered yes, we have an opportunity for you!
Prime Video is disrupting the traditional television and movie industry with a growing library of high-quality media. Prime Video launched in 2007 and has quickly become a strategic priority for the company, reflected in the service’s recent expansion into over 240 countries and territories worldwide. Amazon invests in acquiring, producing and programming TV shows, movies and live events including must-see exclusive series like Hunters, The Grand Tour, The Marvelous Mrs. Maisel, The Man in the High Castle, UFC, English Premier League, Thursday Night Football and more.
Prime Video Ad Measurement and Analytics systems directly impact the Ad monetization/revenue.
(1) Ad Measurement services for DAI (dynamic ad insertion) are low-latency, highly scalable and available on the "Live" and "VOD" call paths for pulling 1P/3P Ad trackers, proxying , enriching and firing Ad trackers back to Ad Agencies.
(2) Nielsen Audience measurement services enable Nielsen national ratings (i.e. DTVR and DCR) by sending real-time and batch data via S2S Nielsen integration, which includes artifacts
from PV production, encoding, players, catalog and playback telemetry.
(3) Ad Analytics cater to building real-time analytics tools and capabilities to enable internal teams, business stakeholders and customers to get a holistic view of E2E Video Ads ecosystem in Prime Video. Apart from providing visibility via dashboarding – we support capabilities to do ad-hoc analysis, alarming and real-time monitoring on petabytes of data.
Our architecture processes and handles high TPS (in millions for Live events) with obsessively high reliability and low operational overhead. We leverage many Amazon Web Services (AWS) technologies including EC2, Redis, ALBs, S3, Kinesis, Lambda, Athena, and EMR.
Successful Software Engineer candidates have a solid background in modern programming languages, distributed system design, service-oriented architecture, and high scalability. Experience in Big Data is a plus. Equally important is the ability to multi-task, invent, create reliable and maintainable code, and find creative, scalable solutions to difficult problems.
Key job responsibilities
- Build/design high availability, high-throughput, low-latency systems.
- Develop public-facing services and other large-scale distributed systems
- Work across teams (dependencies, downstream, peer teams)
- Handle day-to-day operations
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