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  • January 18th, 2018 Learning Diversity Recruiting Insights from SoundCloud’s DeveloperBridge trainee programme By Tiffany Conroy

    Back in 2016, the SoundCloud People Team and engineering management collaborated on an effort to bring more junior engineers into the company. The result was “DeveloperBridge”, a paid junior engineering programme that would run for 12 months, based out of our Berlin headquarters.

    Trainees would gain hands-on experience under the guidance of our engineers. By working on a variety of tasks in selected teams, they would experience different types of engineering tasks and technologies to develop a feel for the areas they enjoy working in most. The aim of the programme was to develop and hire the participants afterwards into full time roles at SoundCloud while improving diversity in Engineering at the same time.

    Now with their traineeship year coming to a close, we’ve asked the participants to reflect on the experience, what they learned, how they feel about their accomplishments, and where they see themselves headed next in their careers as software engineers.


  • December 7th, 2017 Architecture Microservices How SoundCloud uses HAProxy with Kubernetes for user-facing traffic By Matthias Rampke

    A little under two years ago, SoundCloud began the journey of replacing our home-grown deployment platform, Bazooka, with Kubernetes. Kubernetes automates deployment, scaling, and management of containerized applications.


  • October 16th, 2017 iOS Architecture Leveraging frameworks to speed up our development on iOS - Part 1 By Pedro Piñera

    Growth in code bases come with exciting scalability challenges. As the size of our iOS codebase and team at SoundCloud grew, we faced challenges: long compile times and conflicts. Our productivity started to suffer as a result. We took inspiration from the work done in the backend (Building Products at SoundCloud) and applied it to mobile development. The main goal was to get back to a state where development is fun, fast, and would scale as the number of contributors grew. We modularized our iOS project by splitting it up into modules with well-defined responsibilities and public interfaces that interconnect them.


  • October 4th, 2017 Data Science Machine Learning Analytics Data SoundCloud's Data Science Process By Josh Devins

    Here at SoundCloud, we’ve been working on helping our Data Scientists be more effective, happy, and productive. We revamped our organizational structure, clearly defined the role of a Data Scientist and a Data Engineer, introduced working groups to solve common problems (like this), and positioned ourselves to do incredible work! Most recently, we started thinking about the work that a Data Scientist does, and how best to describe and share the process that we use to work on a business problem. Based on the experiences of our Data Scientists, we distilled a set of steps, tips and general guidance representing the best practices that we collectively know of and agree to as a community of practitioners.


  • September 27th, 2017 Project Management Engineering Management Deliver software faster by managing work in progress, not by adding overtime By Matt Weiden

    Product development flow (flow) is the rate at which our products are developed, from idea to deployment. Good flow means that products should pass through the development cycle quickly and continuously.