Senior Backend Engineer, Home Surfaces

3 нед. назад

СШАSeniorRemote

Build and evolve backend infrastructure and pipelines for podcast recommendations to create personalized experiences for millions of listeners.

The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we’re behind some of ’s most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them. The Home Podcasts Squad builds the systems that power podcast recommendations across some of ’s most important distribution surfaces, including Home, the Podcast Subfeed, and the Now Playing view. We develop the ranking systems behind these recommendations and create experiences such as topic-based shelves and cross-content recommendations that help listeners discover podcasts they'll love. We’re looking for a Senior Backend Engineer to build and evolve the backend infrastructure and pipelines that make these experiences possible. You’ll work on systems that identify, retrieve, rank, and filter relevant podcast content to create personalized experiences for millions of listeners around the world.

Architect, build, and evolve backend systems that support personalization and recommendations at scale. Design reliable, scalable, and performant services capable of supporting high-volume recommendation workloads.
Build and improve the infrastructure and pipelines that enable us to efficiently retrieve, rank, and deliver personalized podcast recommendations.
Partner closely with Product Managers, Engineers, Data Scientists, and Designers to develop new recommendation experiences and define experimentation strategies.
Take ownership of backend systems through their full lifecycle, from technical design and implementation through deployment, monitoring, and continued improvement.
Use experimentation and data to understand how changes to our systems affect the listener experience and inform future development.
Navigate ambiguous technical problems, make thoughtful engineering trade-offs, and contribute to the long-term architecture of our personalization systems.
Share your knowledge and engineering practices with teammates, helping us build reliable systems and grow together as a team.

You have experience building production systems with Java.
You have experience designing distributed, high-volume services and know how to deploy, operate, and evolve them in production.
You have worked directly with stakeholders to understand requirements and design APIs and systems that can be adopted broadly rather than relying on one-off implementations.
You have a strong understanding of system design, data structures, and algorithms.
You have an interest in large-scale data processing technologies and how they can support personalized product experiences.
You are comfortable working in an environment where teams experiment, learn, and iterate quickly.
You use data to inform technical and product decisions and care about understanding the impact of what you build.
You have experience with technologies such as gRPC, GCP, BigQuery, Bigtable, or similar tools and platforms.

We offer you the flexibility to work where you work best! For this role, you can be within the North Americas region as long as we have a work location.
This team operates within the Eastern Standard time zone for collaboration.