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Staff Software Engineer, Stream Processing Platform

Pinterest · Seattle, United States Of America · Remote

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About Pinterest:

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.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.

We’re seeking a software engineer to help Pinterest build and lead the next generation of stream processing platform and infrastructure. You’ll be working on some of the most exciting big data open source technologies (Flink, Kafka, RocksDB, and more), at the scale of tens of millions of messages per second with terabytes of data to help Pinners discover and do what they love.

What you’ll do:

  • Lead the strategy and technical direction of Pinterest’s Streaming platform 
  • Improve and customize the internals of open source Flink to meet our challenges at scale and actively participate in open source community
  • Build and scale stream processing frameworks and infrastructure to process millions of messages per second with terabytes of state
  • Work with internal customers on critical business use cases that rely on low latency 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:

  • 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
  • 4+ years of experiences in contributing to open-source Flink or streaming technologies
  • Deep knowledge of big data technologies (e.g.Flink,  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 we're 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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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
$177,185—$364,795 USD

Our Commitment to Inclusion:

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, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.