Software Development Engineer, Data Platform, Prime Video Personalization & Discovery

Overview

Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports – including Amazon MGM Studios-produced series and movies; licensed fan favourites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+.

All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads.

Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience.

As a Prime Video technologist, you’ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You’ll get to work on projects that are fast-paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people.

We are looking for a self‑motivated, passionate and resourceful Software Development Engineer to bring diverse perspectives, ideas, and skill‑sets to make Prime Video even better for our customers. You will be a technical leader helping to design and build the data & machine learning infrastructure that powers our vision. You will tackle complex and ambiguous problems, designing and delivering scalable and resilient platform solutions from the ground up.

You will not only write high‑quality, maintainable code, but also mentor other engineers, influence our technical strategy, and drive engineering best practices across the team. Your work will directly contribute to making Prime Video's operations more efficient and will set the technical foundation for years to come.

As a SDE on the Prime Video Data Platform team, you will have subject matter expertise in the areas of big data pipeline architecture, data foundations for personalization & recommendation systems and world-class user experience for customers of our data & ML infrastructure offerings. You will work with teams of scientists, product managers and engineers to translate business and functional requirements into concrete system deliverables.

You will have the opportunity to build new platform services from the ground up, driving the development of innovative approaches to personalization, and providing opportunities for scientists and engineers to invent and implement scalable ML solutions supporting new customer experiences.

• 3+ years of non‑internship professional software development experience
• 3+ years of non‑internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• 3+ years of designing and developing large‑scale, multi‑tiered, multi‑threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
• 3+ years of programming using a modern programming language such as Java, C++, or C#, including object‑oriented design experience
• 3+ years of big data technologies such as AWS, Hadoop, Spark, Pig, Hive, Lucene/SOLR or Storm/Samza experience

• 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
• Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
• 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.

Los Angeles County applicants:
Job duties for this position include work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees,…