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Staff Software Engineer, Batch Processing Platform

Salary

$170.371k - $350.763k

Min Experience

8 years

Location

San Francisco, Remote

JobType

Regular

About the job

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About the role

We're looking for a staff software engineer to help us build and lead the next generation of batch processing platform and infrastructure at Pinterest. You'll be working on some of the most exciting big data open source technologies (Spark, Kafka, Kubernetes, etc.), at the scale of hundreds of petabytes of data to help Pinners discover and do what they love. What you'll do: Lead the strategy and technical direction of Pinterest's Spark platform Improve and customize the internals of open source Spark to meet our challenges at scale and actively participate in open source community Build and scale batch processing frameworks and infrastructure to process petabytes-scale datasets Work with internal customers on critical business use cases that rely on batch processing Provide thought leadership to the entire company on how 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: 8+years of industry experience with a proven track record of technical excellence 5+ years of experience of building and support large scalable big data infrastructure/platform 2+ years of experiences in contributing to open-source Spark Deep knowledge of big data technologies (e.g. Spark, Hadoop, Parquet/ORC, Flink) Experience in leading cross-team engineering efforts Proficiency in one or more programming languages (Java, Scala, Python) Experiences in Kubernetes and AWS technologies BS degree in a relevant field such as Computer Science OR equivalent experience

About the company

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Skills

spark
kafka
kubernetes
java
scala
python
hadoop
parquet
orc
flink