Were looking for a staff software engineer to help us build and lead the next generation of batch processing platform and infrastructure at Pinterest. Youll 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 youll do:
- Lead the strategy and technical direction of Pinterests 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 teams technical vision and long-term roadmap
What were looking for:
- 8years 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
In-Office Requirement Statement:
- We let the type of work you do guide the collaboration style. That means were not always working in an office but we continue to gather for key moments of collaboration and connection.
- This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
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Required Experience:
Staff IC