Software Development Engineer, Prime Video Ad Measurement

Software Engineer

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 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.

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