2 hours ago
Responsibilities
- Lead the strategy and technical direction of Pinterest’s data infrastructure for big data and AI applications.
- Build and scale data infrastructure frameworks for petabyte-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 company-wide technical leadership on reliable, fast, and efficient data processing and storage at scale.
- Contribute to the team’s technical vision and long-term roadmap.
Requirements
- 10+ years of industry experience with a proven track record of technical excellence.
- 5+ years of experience building and supporting large-scale Kubernetes or big data platforms.
- Deep knowledge of big data and ML technologies, including Flink, Spark, Presto, Kubernetes, Ray, and PyTorch/TensorFlow.
- Proficiency in one or more of Java, Go, Scala, or Python.
- Experience with Kubernetes and AWS technologies.
- Exceptional collaboration skills and the ability to navigate ambiguity, make tradeoffs, and align stakeholders.
- Bachelor’s degree in Computer Science or a related technical field, or equivalent experience.
Benefits
- The role can be situated anywhere in the country and requires in-office collaboration 1–2 times per quarter.
- The position is not eligible for relocation assistance.
Tech Stack
Categories
Data Engineering
About Pinterest
Pinterest's mission is to bring everyone the inspiration to create a life they love. It's the visual inspiration platform where more than 600 million monthly active users worldwide come to search, save, and shop the best ideas in the world for all of life’s moments.