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 β’ Machine Learning β’ Supply Chain Visibility β’ Supply Chain Risk Management β’ Multi-tier Visibility
March 19
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 β’ Machine Learning β’ Supply Chain Visibility β’ Supply Chain Risk Management β’ Multi-tier Visibility
β’ Help drive engineering culture and lead engineers to develop and deploy SaaS solutions. β’ Use cloud-native technologies to deliver secure, highly available solutions. β’ Contribute individually as well as provide technical leadership and design ownership. β’ Work with engineers and product owners to shape the roadmap and ensure shipping interoperable products. β’ Collaborate with UI/UX teams to build feature rich product experiences. β’ Set a high bar for software contributions and quality across teams. β’ Provide guidance on architectural and design decisions for the platform. β’ Make tradeoffs between technology choices, business priorities, and user experience.
β’ Bachelor's degree in computer science, or equivalent experience. β’ 10+ years of hands-on professional experience with Python frameworks (Django/Flask). β’ Strong with systems design, distributed services etc., with a track record of having led successful software initiatives and teams. β’ Experience with big data software architecture & design. β’ Excellent understanding of how to profile, troubleshoot and performance-proof large, data intensive applications. β’ Delivered features on a product and understand the software development lifecycle from start to finish. β’ Demonstrated technical excellence and leadership providing solutions that solve complex problems. β’ Experienced with Agile principles and have worked on a Scrum based to deliver software on a regular cadence. β’ Working knowledge/ experience with cloud (AWS preferred) tools and packages. β’ Knowledge of graph DB technologies (e.g. Neo4j, etc).
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