Sr. Staff Software Engineer - Big Data Platform
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Sr Staff Software Engineer, Big Data Platform
We’re looking for senior staff software engineers to help us build and lead the next generation of data infrastructure at Pinterest which powers mission critical big data and ML/AI applications. You’ll be working on some of the most exciting big data and ML/AI open source technologies (Kubernetes, Spark, Ray, Flink, 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 data infrastructure for big data and ML/AI applications
Build and scale data infra frameworks and infrastructure to process petabytes-scale datasets, including 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
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 Kubernetes or big data platform
Deep knowledge of infra / big data / ML technologies (e.g. Kubernetes, Spark, YuniKorn, Flink, Ray, PyTorch/TensorFlow)
Experience in leading cross-team engineering efforts
Proficiency in one or more programming languages (Java, Go, 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.
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 / month and therefore can be situated anywhere in the country.
#LI-REMOTE
#LI-AH2
Sr. Staff Software Engineer - Big Data Platform
To see similar active jobs please follow this link: Remote Development jobs
Sr Staff Software Engineer, Big Data Platform
We’re looking for senior staff software engineers to help us build and lead the next generation of data infrastructure at Pinterest which powers mission critical big data and ML/AI applications. You’ll be working on some of the most exciting big data and ML/AI open source technologies (Kubernetes, Spark, Ray, Flink, 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 data infrastructure for big data and ML/AI applications
Build and scale data infra frameworks and infrastructure to process petabytes-scale datasets, including 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
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 Kubernetes or big data platform
Deep knowledge of infra / big data / ML technologies (e.g. Kubernetes, Spark, YuniKorn, Flink, Ray, PyTorch/TensorFlow)
Experience in leading cross-team engineering efforts
Proficiency in one or more programming languages (Java, Go, 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.
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 / month and therefore can be situated anywhere in the country.
#LI-REMOTE
#LI-AH2