P
Principal Engineer (Big Data Platform)
Skills
Big DataPythonGolangJavaPyTorchTensorFlowMachine LearningAIScalaAWSKubernetes
1 month ago
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Important information
Contract type:
Permanent
Salary:
$242,634 – $499,541 / year
Location:
San Francisco, CA, USA
Work mode:
Hybrid
Published on:
11 September 2026
What they need
- We’re looking for a principal software engineer to lead the next generation of data infrastructure at Pinterest which powers mission critical big data and AI applications. You’ll be working on some of the most exciting big data and AI open source technologies (Flink, Spark, Kubernetes, etc.), at the scale of exabytes of data to help Pinners discover and do what they love
- Lead the strategy and technical direction of Pinterest’s data infrastructure for big data and AI applications
- Build and scale data infra frameworks and infrastructure to process petabytes-scale datasets, including compute engines, job management, resource management, scheduling and remote shuffling
- Work with internal customers on critical business use cases that rely on big data
- 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- Deep knowledge of big data / ML technologies (e.g. Flink, Spark, Presto, Kubernetes, Ray, PyTorch/TensorFlow)
- Exceptional collaboration skills with cross-functional partners, with the ability to navigate ambiguity, make tradeoffs, and keep stakeholders aligned on priorities and progress
- 12+ years of industry experience with a proven track record of technical excellence
- Proficiency in one or more programming languages (Java, Go, Scala, Python)
- 8+ years of experience of building and support large scalable Kubernetes or big data platform
- Bachelor’s degree in Computer Science, a related technical field, or equivalent experience
- Experiences in Kubernetes and AWS technologies
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