Everstream Analytics is a leading provider of end-to-end supply chain risk management solutions that enhance global supply chains by making them smarter and more autonomous. The company leverages predictive insights and risk analytics to enable businesses to manage supply chain disruptions effectively, optimize operations, and improve their performance. Everstream Analytics offers a comprehensive suite of services, including actionable intelligence, cybersecurity, ESG & sustainability, weather intelligence, and analytics, tailored for various industries such as automotive, chemicals, energy, food and beverage, heavy equipment, high-tech, industrial manufacturing, life sciences, medical devices, and retail.
AI • Machine Learning • Supply Chain Visibility • Supply Chain Risk Management • Multi-tier Visibility
March 20
AWS
Cloud
Django
Docker
Flask
JavaScript
Kafka
Kubernetes
Neo4j
Next.js
PostGIS
Postgres
Python
Terraform
TypeScript
Everstream Analytics is a leading provider of end-to-end supply chain risk management solutions that enhance global supply chains by making them smarter and more autonomous. The company leverages predictive insights and risk analytics to enable businesses to manage supply chain disruptions effectively, optimize operations, and improve their performance. Everstream Analytics offers a comprehensive suite of services, including actionable intelligence, cybersecurity, ESG & sustainability, weather intelligence, and analytics, tailored for various industries such as automotive, chemicals, energy, food and beverage, heavy equipment, high-tech, industrial manufacturing, life sciences, medical devices, and retail.
AI • Machine Learning • Supply Chain Visibility • Supply Chain Risk Management • Multi-tier Visibility
• We keep the world moving by keeping risk out of the way. • Everstream Analytics risk scores and predictive insights set the world’s supply chain standard. • Our company delivers operational supply chain insights based on data and predictive analytics. • As a Staff Software Engineer, you will help drive our engineering culture, help lead other engineers in an agile environment to develop and deploy applications for supply chain risk management features. • You will work together with UI/UX teams to build high quality, feature rich product experiences.
• Bachelor's degree in computer science, or equivalent experience. • 10+ years of hands-on professional experience with Python frameworks (Django/Flask). • Strong with systems design, distributed services etc., with a track record of having led successful software initiatives and teams. • Understanding of big data software architecture & design. • Excellent understanding of how to profile, troubleshoot and performance-proof large, data intensive applications. • Delivered features on a product and understand the software development lifecycle from start to finish. • Demonstrated technical excellence and leadership providing solutions that solve complex problems. • Experienced with Agile principles and have worked on a Scrum based to deliver software on a regular cadence. • Working knowledge/ experience with cloud (AWS preferred) tools and packages. • Strong experience with graph DB technologies (e.g. Neo4j, etc).
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