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Sr. Staff Software Engineer

at Pinterest

San Francisco, United States, Remote

About Pinterest:  

Millions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, you’ll be challenged to take on work that upholds this mission and pushes Pinterest forward. You’ll grow as a person and leader in your field, all the while helping Pinners make their lives better in the positive corner of the internet.

Creating a life you love also means finding a career that celebrates the unique perspectives and experiences that you bring. As you read through the expectations of the position, consider how your skills and experiences may complement the responsibilities of the role. We encourage you to think through your relevant and transferable skills from prior experiences.

Our new progressive work model is called PinFlex, a term that’s uniquely Pinterest to describe our flexible approach to living and working. Visit our PinFlex landing page to learn more. 

The Batch Processing Platform Team provides Hadoop & Spark platforms as services to Pinterest engineering.

We’re looking for staff or senior staff software engineers 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


Relocation Statement:

  • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.




At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only
$175,488$360,985 USD

Our Commitment to Diversity:

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic under federal, state, or local law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require an accommodation during the job application process, please notify for support.


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