About AppLovin
AppLovin makes technologies that help businesses of every size connect to their ideal customers. The company provides end-to-end software and AI solutions for businesses to reach, monetize and grow their global audiences. For more information about AppLovin, visit: www.applovin.com.
To deliver on this mission, our global team is composed of team members with life experiences, backgrounds, and perspectives that mirror our developers and customers around the world. At AppLovin, we are intentional about the team and culture we are building, seeking candidates who are outstanding in their own right and also demonstrate their support of others.
Fortune recognizes AppLovin as one of the Best Workplaces in the Bay Area, and the company has been a Certified Great Place to Work for the last four years (2021-2024). Check out the rest of our awards HERE.
As a member of the Platform team, you will take ownership of projects and work with large-scale data processing systems. We are seeking a motivated engineer to join the team responsible for AppLovin's core products which process over 6PB of data and reach 1.4B users daily. We are responsible for scaling a platform that produces hundreds of billions of unique events consumed trillions of times throughout our geographically distributed data centers every day. The technical stack includes Java, Scala, Spark, Airflow, GCP and working with a variety of databases.
- Design, develop, and maintain large-scale distributed systems
- Collaborate with various engineering teams to meet a wide range of technological challenges
- Influence and inspire team members
- Minimum 1 year+ of meaningful professional experience
- Have a Bachelor’s and/or Master’s Degree in Computer Science or a related field
- Have used Java or Scala in a professional environment for at least 1 year
- Strong algorithms experience
- Have some experience with big data systems, like Apache Spark, big data processing, big data processing, big data pipelines, HDFS, etc.
- Have a desire to solve large, complex problems. You look beyond the surface to understand root causes so that you can build long-term solutions for the whole ecosystem
- Knowledge of Airflow
- Practical experience working with big data systems (Spark Streaming, Spark batch processing, SparkSQL, HDFS)
- Practical experience working in the cloud (GCP, AWS, etc) or with kubernetes
AppLovin provides a competitive total compensation package with a pay for performance rewards approach. Total compensation at AppLovin is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Depending on the position offered, equity, and other forms of incentive compensation (as applicable) may be provided as part of a total compensation package, in addition to dental, vision, and other benefits.
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