Full-Time
Backend Engineer
Confirmed live in the last 24 hours
Machine vision system automates shipping data capture
Data & Analytics
Hardware
Industrial & Manufacturing
Senior, Expert
San Francisco, CA, USA
Required Skills
Bash
Microsoft Azure
Agile
Python
MySQL
Apache Spark
SQL
Apache Kafka
Postgres
AWS
Redis
Apache Hive
MongoDB
Hadoop
Data Analysis
Google Cloud Platform
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
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
Kargo's main product is a machine vision system that optimizes shipping and receiving at loading docks, capturing data from labels and marks to provide real-time information and visuals on its dashboard. The technology eliminates manual efforts, automates data capture, and integrates with existing inventory systems, empowering continuous improvement and network effects across supply chains.
Company Stage
Series A
Total Funding
$33M
Headquarters
San Francisco, California
Founded
2019
Growth & Insights
Headcount