StartUs GmbH
Senior Software Engineer Data and Backend Services
StartUs GmbH, New York, New York, us, 10261
Spotify is looking for a Software Engineer to join our Engineering org. You will build data solutions and distributed services to bring music and digital media experiences to our 100 million active users and millions of artists, either by working directly on product features, publishing and insight tools for artists, or by improving the quality of our software tools and large scale infrastructure. You will take on complex data and distributed systems problems using some of the most diverse datasets available — user behaviors, acoustical analysis, revenue streams, cultural and contextual data, and other signals across our broad range of mobile and connected platforms. Above all, your work will impact the way the world experiences music.
What you'll do
Build large-scale batch and real-time data pipelines with data processing frameworks like Scalding, Scio, Storm, Spark and the Google Cloud Platform.
Architect, design, develop, deploy and operate services that support millions of users.
Leverage best practices in continuous integration and delivery.
Help drive optimization, testing and tooling to improve data and systems quality.
Collaborate with other engineers, ML experts and stakeholders, taking learning and leadership opportunities that will arise every single day.
Work in cross functional agile teams to continuously experiment, iterate and deliver on new product objectives.
Who you are
You have at least 5 years of professional experience working in a product-driven environment
You know how to work with high volume heterogeneous data, preferably with distributed systems such as Hadoop, BigTable, and Cassandra.
You know how to write distributed, high-volume services in Java or Scala.
You have a deep understanding of system design, data structures, and algorithms.
You are knowledgeable about data modeling, data access, and data storage techniques.
You care about agile software processes, data-driven development, reliability, and responsible experimentation.
You understand the value of collaboration within teams.
We are proud to foster a workplace free from discrimination. We strongly believe that diversity of experience, perspectives, and background will lead to a better environment for our employees and a better product for our users and our creators. This is something we value deeply and we encourage everyone to come be a part of changing the way the world listens to music.
What you'll do
Build large-scale batch and real-time data pipelines with data processing frameworks like Scalding, Scio, Storm, Spark and the Google Cloud Platform.
Architect, design, develop, deploy and operate services that support millions of users.
Leverage best practices in continuous integration and delivery.
Help drive optimization, testing and tooling to improve data and systems quality.
Collaborate with other engineers, ML experts and stakeholders, taking learning and leadership opportunities that will arise every single day.
Work in cross functional agile teams to continuously experiment, iterate and deliver on new product objectives.
Who you are
You have at least 5 years of professional experience working in a product-driven environment
You know how to work with high volume heterogeneous data, preferably with distributed systems such as Hadoop, BigTable, and Cassandra.
You know how to write distributed, high-volume services in Java or Scala.
You have a deep understanding of system design, data structures, and algorithms.
You are knowledgeable about data modeling, data access, and data storage techniques.
You care about agile software processes, data-driven development, reliability, and responsible experimentation.
You understand the value of collaboration within teams.
We are proud to foster a workplace free from discrimination. We strongly believe that diversity of experience, perspectives, and background will lead to a better environment for our employees and a better product for our users and our creators. This is something we value deeply and we encourage everyone to come be a part of changing the way the world listens to music.