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SDE, Amazon Video Library Project

SDE, Amazon Video Library Project

Job ID 
563048
Location 
US-WA-Seattle
Posted Date 
8/1/2017
Company 
Amazon Corporate LLC
Position Category 
Software Development
Recruiting Team 
..

Job Description

Amazon Video is disrupting the traditional television and movie industry with a massive library of high-quality media and reliable digital delivery. Our services are engineered for high availability, maximum reach, and cost savings that we can pass on to customers. We enable the world to watch video instantly, from any device, whether on the road or from the comfort of a living room sofa. Today, we deliver Movies and TV shows to smart phones, tablets, Windows and Mac PCs, portable devices, gaming consoles, and smart TVs. We operate in over 200 countries and territories and we aspire to grow -- a lot.

As a member of the Amazon Video Catalog Metadata team, you will be focused on building the world's richest video metadata store! In this role, you will be responsible for engineering the systems that ingest and store metadata from a variety of providers (e.g., film studios, IMDb) and you will design and implement systems that generate proprietary metadata that drives our user experience. As an owner of the metadata storage platform, you will enhance and maintain a S3-backed graph database, designed to scale to support the metadata of millions of titles, and a variety of service agents that operate on that data. Further, you'll work in a culture that is customer obsessed, which inspires us to ensure that less-than-perfect metadata inputs are transformed into high-quality outputs, that we continually grow our metadata selection, and that our systems/services are highly-efficient in order to drive a first-class user experience.

We are looking for talented software development engineers who can contribute to our world-class engineering culture. We deliver meaningful results for customers while simultaneously investing in each team member's career and overall skill set. Domain-specific skills in video can be learned on the job. At Amazon, every engineer has the opportunity to positively impact millions of customers, and you will be called on to identify and realize these opportunities. Our team works end-to-end through the Instant Video platform, and our team members have direct ownership of the customer experience.

We embrace the challenges of a fast paced market and evolving technologies, paving the way to universal availability of video and pushing the envelope for streaming quality. You will be encouraged to see the big picture, be innovative, and positively impact millions of customers. This is a young and evolving business where creativity and drive can make a lasting impact on world-wide consumer entertainment.

Successful candidates for this position will have a background in Java, C++, or C# and ideally have some knowledge of Ruby. Equally important to these specific skills is a candidate's ability to multi-task, adapt quickly to new development environments and changing business requirements, learn new systems, gain new skills, create reliable & maintainable code, and find creative, scalable solutions to difficult problems.

The ability to communicate clearly and concisely both written and orally is a key competency as is demonstrable skill as a self-starter. We are looking for candidates who are passionate about delivering consistently great digital media experiences to our customers, particularly those who want to grow within a world-class engineering team.

Basic Qualifications

· Bachelor’s degree in computer science or a related field
· At least four years of experience writing production code of increasing complexity
· Strong understanding of computer science fundamentals, including algorithms, complexity analysis, data structures, problem solving, and object-oriented analysis and design
· Proficiency in at least one of the following: Java, C, C++, C#, Ruby, Python
· Experience refactoring code and evolving architectures
· Experience crafting unit, integration, functional and regression tests

Preferred Qualifications

· Master’s degree in computer science or a related field
· Experience developing in a Linux environment
· Experience applying service-oriented architecture techniques to production use cases