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grpc postgresql python elasticsearch kafkaπ Description
- Design, build, and maintain pipelines turning unstructured content into structured data
- Contribute to ingestion system design, improving scalability and reliability
- Improve data quality and enrichment workflows for downstream Search/Data Science
- Build and operate distributed, event-driven systems and streaming pipelines
- Partner with Product, Data Science, Search, and Platform teams to deliver high-quality data
- Take ownership of projects end-to-end, balancing speed with reliability
π― Requirements
- 5β8 years of professional software engineering experience
- Experience designing, building, and operating distributed systems and data pipelines
- Strong proficiency in Python or a similar backend language
- Experience building and maintaining reliable, observable, and scalable services or microservices
- Experience with streaming technologies such as Kafka or Kinesis
- Experience with APIs and service communication patterns such as gRPC and Protocol Buffers
π Benefits
- Fully distributed remote team
- Home office stipend and remote reimbursements
- Health, dental, vision, disability, life insurance
- 401(k) with employer contributions and equity
- PTO, holidays, and up to 16 weeks parental leave
- Coursera and O'Reilly access for learning
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