Everstream Analytics
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
Staff Software Engineer
March 19
AWS
Cloud
Django
Docker
Flask
JavaScript
Kafka
Kubernetes
Neo4j
Next.js
PostGIS
Postgres
Python
Terraform
TypeScript
Everstream Analytics
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
📋 Description
• 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 and features that are used in customer-facing SaaS solutions for supply chain risk management. • We are looking to augment our team with experienced and highly competent software engineering technical leaders that enjoy problem solving, collaborating, troubleshooting, and delivering quality solutions. • You will be using the latest in cloud-native technologies to deliver secure, highly available solutions enabling our clients to reduce the volatility in their supply chain operations and increase the value of their businesses. • You will help drive our engineering culture, help lead other engineers in an agile environment to develop applications and features used in customer-facing SaaS solutions. • Work with engineers and product owners across teams to shape our roadmap to ensure we ship interoperable products. • Work together with UI/UX teams to build high quality, feature rich product experiences. • Set a high bar for software engineering contributions and quality across multiple teams. • Provide guidance and ownership of architectural and design decisions for the platform. • Make suitable tradeoffs between technology choices, business priorities and user experience.
🎯 Requirements
• 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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