Staff Software Engineer, Stream Processing Platform
Staff Software Engineer, Stream Processing Platform
Job Description
Responsibilities
- Lead the strategy and technical direction of Pinterest’s Streaming platform
- Improve and customize the internals of open source Flink to meet 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
Qualifications
- 8+ years of industry experience with a proven track record of technical excellence
- 5+ years of experience building and supporting large scalable big data infrastructure/platform
- 4+ years of experience 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)
- Experience in Kubernetes and AWS technologies
- BS+ degree in a relevant field such as Computer Science or equivalent experience
Locations
- Seattle, WA, US; Remote, US (Remote)
Salary
177,185 - 364,795 USD / yearly
Estimated Salary Rangemedium confidence
220,000 - 350,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Flinkintermediate
- Kafkaintermediate
- RocksDBintermediate
- Sparkintermediate
- Hadoopintermediate
- Parquet/ORCintermediate
- Kubernetesintermediate
- AWSintermediate
- Javaintermediate
- Scalaintermediate
- Pythonintermediate
- Leading cross-team engineering effortsintermediate
Required Qualifications
- 8+ years of industry experience with a proven track record of technical excellence (experience)
- 5+ years of experience building and supporting large scalable big data infrastructure/platform (experience)
- 4+ years of experience contributing to open-source Flink or streaming technologies (experience)
- Deep knowledge of big data technologies (e.g. Flink, Spark, Hadoop, Parquet/ORC, Flink) (experience)
- Experience in leading cross-team engineering efforts (experience)
- Proficiency in one or more programming languages (Java, Scala, Python) (experience)
- Experience in Kubernetes and AWS technologies (experience)
- BS+ degree in a relevant field such as Computer Science or equivalent experience (experience)
Responsibilities
- Lead the strategy and technical direction of Pinterest’s Streaming platform
- Improve and customize the internals of open source Flink to meet 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
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Answer 10 quick questions to check your fit for Staff Software Engineer, Stream Processing Platform @ Pinterest.
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~2 Minutes
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Staff Software Engineer, Stream Processing Platform
Staff Software Engineer, Stream Processing Platform
Job Description
Responsibilities
- Lead the strategy and technical direction of Pinterest’s Streaming platform
- Improve and customize the internals of open source Flink to meet 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
Qualifications
- 8+ years of industry experience with a proven track record of technical excellence
- 5+ years of experience building and supporting large scalable big data infrastructure/platform
- 4+ years of experience 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)
- Experience in Kubernetes and AWS technologies
- BS+ degree in a relevant field such as Computer Science or equivalent experience
Locations
- Seattle, WA, US; Remote, US (Remote)
Salary
177,185 - 364,795 USD / yearly
Estimated Salary Rangemedium confidence
220,000 - 350,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Flinkintermediate
- Kafkaintermediate
- RocksDBintermediate
- Sparkintermediate
- Hadoopintermediate
- Parquet/ORCintermediate
- Kubernetesintermediate
- AWSintermediate
- Javaintermediate
- Scalaintermediate
- Pythonintermediate
- Leading cross-team engineering effortsintermediate
Required Qualifications
- 8+ years of industry experience with a proven track record of technical excellence (experience)
- 5+ years of experience building and supporting large scalable big data infrastructure/platform (experience)
- 4+ years of experience contributing to open-source Flink or streaming technologies (experience)
- Deep knowledge of big data technologies (e.g. Flink, Spark, Hadoop, Parquet/ORC, Flink) (experience)
- Experience in leading cross-team engineering efforts (experience)
- Proficiency in one or more programming languages (Java, Scala, Python) (experience)
- Experience in Kubernetes and AWS technologies (experience)
- BS+ degree in a relevant field such as Computer Science or equivalent experience (experience)
Responsibilities
- Lead the strategy and technical direction of Pinterest’s Streaming platform
- Improve and customize the internals of open source Flink to meet 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
Tags & Categories
Answer 10 quick questions to check your fit for Staff Software Engineer, Stream Processing Platform @ Pinterest.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs