Software Development Engineer , Prime Video: Playback Intelligence Job at Amazon

Description

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, come build the future of entertainment with us!

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 services 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 Lord of the Rings, The Boys, The Wheel of Time, The Marvelous Mrs. Maisel and so on. In addition to our On Demand catalog, Prime Video is excited to offer a wide selection of Linear Channels and Live Sports as well, including titles such as Thursday Night Football, English Premier League, NBA, MLB, ATP tennis, French Open, UEFA Champions League (list goes on..) world-wide at large scale. .

The team works in a dynamic environment where innovating on behalf of our customers is at the heart of everything we do. If this sounds exciting to you, please read on.

A day in the life

We are looking for a Software Development Engineer II for the Playback Intelligence: Tools, Monitoring, and Insights Team. As a SDE II on our team you will need to tackle complex problems that span a variety of domains: large scale real time data, Machine learning, Artificial intelligence, Natural Language processing, distributed systems and help us build services and systems from ground up which scale and serve billions of requests per day, with obsessively high reliability and low operational overhead. You will get to work on a lot of established as well as green field AWS technologies and design large scale backend systems from scratch. This is a highly visible role, and you are someone who loves the challenge of making sense of complex, nuanced, multi-dimensional data and building systems and tools that enables others to do the same in a timely manner. A successful candidate in this role, will rapidly ideate, prototype, and iterate. You will hold a high bar for delivery of solutions that generate timely and actionable insights. In this role you will have an opportunity to collaborate with a cross functional team to influence our overall technical strategy and help define the teams long-term technical road map. You will spearhead best practices that enable a quality product, and share learnings with the broader team.

A successful candidate will have an established background in developing customer-facing experiences, building highly scalable systems and system design with a focus on making sense of data, a strong technical ability, great communication skills, a motivation to achieve results in a fast-paced environment, a high level of creativity, great analytical reasoning skills, and, of course, a passion for TV and streaming.

We care about your career growth and once you join the team, you and your manager will jointly craft a career plan and youll review it regularly to ensure youre on track to reach your goals. Whether you want to explore new technologies, take on bigger challenges, well help you get there. Our business is growing fast, and our people will grow with it.

About the team

Playback Intelligence comprises multiple teams that own the data platform, the streaming metrics computation engine, a range of published datasets consumed by diverse business units and the customer facing tooling for accessing petabytes of data in a readily consumable format. We support a range of customers such as playback engineers looking at diagnostic telemetry, partner teams working on algorithms for improving playback performance and operators monitoring live international sports events.

The charter of the Tools, Monitoring and Insights Team (within Playback Intelligence) is to develop systems that generate actionable metrics, datasets, insights, and intelligence which consumers can explore via tools, dashboards, ML systems, Generative AI solutions, or APIs to automate actions. We partner closely with our sister team that collect trillions of events per day direct from end user devices all around the world. We love data and the value we can deliver to our customers through automated analysis of that data whilst at all times doing so with appropriate security and privacy controls. We also know that numbers are of little use without context, and to that end have empowered our users by creating and exposing KPIs and associated insights to users through a variety of interfaces including intuitive web applications that offer a guided flow every step of the way from analyzing top level metrics down to exploring a single streaming session. We additionally strive to automate data exploration where we can, and are investing into new machine learning models and Generative AI to identify the top items our teams should focus on to improve overall customer experience.

Our team supports streaming of Video on Demand Content including Amazon Originals, thousands of Linear Channels and Live Events such as Sports and Concerts. If you're interested in working with streaming video at scale, one of the largest Big Data problems in the world, low latency stream processing, and developing systems that generate insights through machine learning and tooling to our customers then you would be a perfect fit!

Basic Qualifications

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

- 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

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 and knowledge of video streaming analytics, monitoring, and observability 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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

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.