We are looking for backend engineers to join our team of hardworking engineers that share a common interest in distributed backend systems, ML, big data, their scalability and continued development. By joining the Data and Insights organization, you'll be a key contributor in making the systems that power our large scale data processing, insights, and machine learning efforts more reliable. Above all, your work will change the way the world experiences music.LocationNew York, NYJob typePermanentThe Insights Platform teams within Data and Insights enable the consumption of Insights by helping anyone at Spotify answer their questions using data. Inside Insights Platform, the Data Science Notebooks team is responsible for providing a stable Jupyter notebook platform for data scientists and analysts. The team is also responsible for BigQuery, our data warehouse. Join us and help to amplify productivity, quality and innovation across Spotify What you'll do: Build out the Jupyter notebooks platform at Spotify to serve Data Science and ML use casesCoordinate technical projects across teams within SpotifyBe a technical leader within the team you work with and within Spotify in generalBe a valued member of an autonomous, multi-functional agile teamBuild, automate, maintain, scale, and monitor user-facing systems using standard methodologies, with reliability and scalability in mindWork with the other specialists to debug and fix issuesImplement high-quality release engineering practices to facilitate rapid development, safe changes, and engineer productivityMaintain system architecture documentation and runbooksCollaborate with other specialists, product managers, and designers to identify and solve exciting problems, crafting an awesome engineering experience within SpotifyYou'll initiate, influence and drive technical projects across teams within SpotifyYou'll use industry standard, cloud native tech, which means easily transferable skills and a focus on your professional developmentHack on what you want during regular hack days and bi-annual hack weeksWork from our awesome office in New York City where we tackle problems in Data, Monetization, Music Recommendations, Features for Artists, and Social NetworkingWho you are: You know how to use Docker and Python extensivelyYou know how to write distributed, well designed services in JavaYou've used Jupyter notebooks and are familiar with the Jupyter open source ecosystemYou have experience with ML models in productionYou know how to work with large scale data systemsYou will be able to apply your knowledge of the Java runtime environment to help us improve our backend service and data landscapeYou are experienced with deploying and operating services on LinuxYou have a deep understanding of system design, data structures, and algorithmsYou care about quality and you know what it means to ship high quality codeGoogle Cloud Platform experience is a bonusAs a great influencer with great communication skills, you love sharing your knowledge with others and helping them growWhere you'll be: We are a distributed workforce enabling our band members to find a work mode that is best for them!Where in the world? For this role, it can be within the Americas region in which we have a work location and is within working hours. Working hours? We operate within the Eastern Standard time zone for collaboration and ask that all be located that time zone.Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here .