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Software Engineer, Real-Time Stream Processing Platform


Software Engineer, Real-Time Stream Processing Platform

San Francisco | California | United States

We’re looking for software engineers (across levels) to help us build and lead the next generation of stream processing platform and infrastructure at Pinterest. You’ll be working on some of the most exciting big data open source technologies (Flink, Kafka, RocksDB,, etc.), at the scale of hundreds of petabytes of data to help Pinners discover and do what they love. 

What you’ll do:

  • Improve and customize the internals of open source big data technologies, e.g. Flink, to meet our challenges at scale and actively participate in open source community
  • Build and scale stream processing frameworks and infrastructure to process petabytes-scale datasets
  • Work with internal customers on critical business use cases that rely on real-time stream processing
  • Provide thought leadership to the entire company on how real-time data should be processed and stored more reliably, quickly and efficiently at scale
  • Contribute to the team’s technical vision and long-term roadmap

What we’re looking for:

  • Experiences in one or more open-source stream processing technologies (Flink, Spark Streaming, Kafka Streams, Samza, Storm etc.)
  • Experience of building scalable infrastructure to support stream data processing to process petabytes of data
  • Proficiency in one or more programming languages (Java, Scala, Python)
  • Pluses: AWS experiences, internal knowledge or expertise of open source or related big data technologies   


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