Kargo - San Francisco, CA
posted 1 day ago
About the position
At Kargo, our mission is to build a connective tissue between the physical world of freight and the digital ecosystem used to manage it. We believe that advancements in smart infrastructure are critical to enabling a safer and more efficient future for logistics. Our loading dock sensor platform verifies all incoming and outgoing freight, aggregating data that enables shippers and carriers to efficiently manage dock operations, switch out suppliers and understand material flow in real time. We care deeply about delivering the best solutions for our customers. As a member of the Kargo team, you will have the opportunity to develop and deploy tomorrow's hardware & software solutions and help revolutionize logistics. As a backend infrastructure engineer, you'll work on the center of our data infrastructure to enable Kargo's next generation logistics platform. You'll collaborate with edge, data, and frontend engineers.
Responsibilities
- Build a scalable, performant and robust data infrastructure that enables data ingestion from edge devices, various data processing pipelines, and APIs for frontend data representation.
Requirements
- 5+ years of experience in backend software or infrastructure engineering.
- Experience in python, bash, databases (SQL / Postgres / MySql / Redis / MongoDB), big data platforms (Hadoop / Spark / Kafka / Hive / Pig / Presto), cloud platforms (AWS / GCP / Azure), and API design.
- Experience building high-quality end-to-end data solutions in an agile environment from requirements to production.
- Expert level skills in data integration, data modeling and data architecture.
- Working knowledge of Big Data concepts in organizing both structured and unstructured data.
- Degree in Computer Science or a related quantitative field, or equivalent experience.
