Software Development Engineer, Podcasts – Amazon Music Amazon Jobs – Culver City, CA

Amazon.com Services LLC

Amazon jobs in California, United States – Apply for Software Development Engineer, Podcasts – Amazon Music Amazon Jobs – Culver City, CA. See the job description, requirements, and the link to apply.

Job ID: 2091992

Job Title: Software Development Engineer.

DESCRIPTION

Job summary
Amazon Music reimagines music listening by enabling customers to unlock millions of songs, podcast episodes, and thousands of curated playlists and stations with their voice. Amazon Music provides unlimited access to new releases and classic hits across iOS and Android mobile devices, PC, Mac, Echo, and Alexa-enabled devices including Fire TV and more. With Amazon Music, Prime members have access to ad-free listening of 2 million songs at no additional cost to their membership. Listeners can also enjoy the premium subscription service, Amazon Music Unlimited, which provides access to more than 75 million songs and the latest new releases. Amazon Music Unlimited customers also now have access to the highest-quality listening experience available, with more than 75 million songs available in High Definition (HD), more than 7 million songs in Ultra HD, and a growing catalog of spatial audio. Customers also have free access to an ad-supported selection of top playlists and stations on Amazon Music. All Amazon Music tiers now offer a wide selection of podcasts at no additional cost, and live streaming in partnership with Twitch. Engaging with music and culture has never been more natural, simple, and fun. For more information, visit amazonmusic.com or download the Amazon Music app.

Launched in Fall 2020, Podcasts on Amazon Music are listened to by millions of customers worldwide on iOS, Android, web, and Alexa enabled devices. But it’s still Day 1 for the podcast experience, and we’re looking for some great engineers to help us make it even better.

As a member of the Podcasts engineering team at Amazon Music, you will be responsible for leading the effort to invent and improve the ways that customers can discover, engage with, and listen to podcasts. You will create new scalable systems to fulfill customer requests, algorithms to pick the perfect podcasts, client interfaces on mobile and web that engage listeners, and services to enable customers to seamlessly resume listening on any device.

Our team is responsible for the podcast experience across Amazon Music to include our native iOS and Android applications, web player, and Alexa voice clients. Initiatives include creating intelligent podcast recommenders, designing seamless handoff between Alexa and mobile clients, surfacing content based on a customer’s prior listening, continually improving podcast search, and other strategic investments to make podcasts on Amazon Music the best place to listen to podcasts.

Come innovate with the Amazon Music Podcasts team!

This role can also be located in San Francisco, CA or Seattle, WA!

BASIC QUALIFICATIONS

  • 1+ years of experience contributing to the system design or architecture (architecture, design patterns, reliability and scaling) of new and current systems.
  • 2+ years of non-internship professional software development experience
  • Programming experience with at least one software programming language.

PREFERRED QUALIFICATIONS

  • Strong, object-oriented design and coding skills
  • Experience with native application development for iOS (Swift) or Android (Java, Kotlin) OR experience with web application development using JavaScript, TypeScript, React, and Redux.
  • Experience designing and consuming APIs across mobile and web clients
  • Experience with AWS technologies
  • Coding experience with automated testing frameworks, tools and services
  • Ability to effectively articulate technical challenges and solutions
  • Deal well with ambiguous/undefined problems

Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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To apply for this job please visit account.amazon.jobs.


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