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Sr. Staff Software Engineer, Big Data Platform

57 minutes ago
United States
Full-time
Lead
Software Engineer
Software Development
Apache Spark Flink Go Java Kubernetes Machine Learning Python PyTorch Scala TensorFlow
Apply Now
Pinterest

Pinterest

Pinterest is the world's first visual discovery engine, offering a vast dataset of ideas with over 200 billion recipes, home hacks, and style inspiration. With a mission to inspire everyone to create a life they love, Pinterest empowers its employees t...

Internet Software & Services
5K-10K
Founded 2010
View All Jobs 80

Description

  • Lead the strategy and technical direction of Pinterest’s data infrastructure for big data and AI applications.
  • Build and scale infrastructure frameworks for petabyte-scale data processing, including compute engines, job management, resource management, scheduling, and remote shuffling.
  • Partner with internal customers on critical business use cases that depend on big data.
  • Provide company-wide technical leadership on reliable, efficient, and high-performance data processing and storage.
  • Contribute to the team’s technical vision and long-term roadmap.

Requirements

  • 10+ years of industry experience with a demonstrated record of technical excellence.
  • 5+ years of experience building and supporting large-scale Kubernetes or big data platforms.
  • Deep knowledge of big data and machine learning technologies such as Flink, Spark, Presto, Kubernetes, Ray, PyTorch, or TensorFlow.
  • Proficiency in one or more of Java, Go, Scala, or Python.
  • Experience with Kubernetes and AWS technologies.
  • Exceptional cross-functional collaboration skills, including navigating ambiguity, making tradeoffs, and aligning stakeholders.
  • Bachelor’s degree in Computer Science, a related technical field, or equivalent experience.
  • Ability to work in the office for in-person collaboration 1–2 times per quarter; role can be based anywhere in the country.
  • Position is not eligible for relocation assistance.

Benefits

  • Flexible work model with in-person collaboration 1–2 times per quarter.
  • Opportunity to work on large-scale open-source big data and AI technologies.
  • Equal opportunity workplace with support for medical and religious accommodations.

Interested in this position?

Apply directly on the company website

Apply Now

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