
11 - 50 employees
Founded 2016
🤖 Artificial Intelligence
🚗 Transport
☁️ SaaS
💰 Venture Round - Derq on 2024-10
Artificial Intelligence • Transport • SaaS
Derq is an MIT spinoff that develops AI-powered intelligent transportation systems to improve road safety and optimize traffic flow. Its hardware-agnostic platform uses computer vision, machine learning, and sensor fusion to detect, track, and predict road user behavior in real time, integrating with existing sensors, traffic controllers, and V2X technologies. Derq offers cloud-based analytics and real-time alerting products (Derq INSIGHT and Derq SENSE) for cities and agencies, focusing on reducing collisions, identifying safety hotspots, and improving traffic performance.
🔥 1 minute ago
Amazon Redshift
AWS
Cloud
Docker
ETL
JavaScript
Kubernetes
Microservices
MongoDB
Python
RDBMS
React
TypeScript
Vue.js
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11 - 50 employees
Founded 2016
🤖 Artificial Intelligence
🚗 Transport
☁️ SaaS
💰 Venture Round - Derq on 2024-10
Artificial Intelligence • Transport • SaaS
Derq is an MIT spinoff that develops AI-powered intelligent transportation systems to improve road safety and optimize traffic flow. Its hardware-agnostic platform uses computer vision, machine learning, and sensor fusion to detect, track, and predict road user behavior in real time, integrating with existing sensors, traffic controllers, and V2X technologies. Derq offers cloud-based analytics and real-time alerting products (Derq INSIGHT and Derq SENSE) for cities and agencies, focusing on reducing collisions, identifying safety hotspots, and improving traffic performance.
• Design, develop, and maintain full-stack applications across frontend and backend systems • Build responsive and scalable frontend applications using React (Remix), TypeScript, and Vue.js • Develop backend services and APIs using NestJS and modern microservice architectures • Design and optimize integrations with relational databases and data platforms • Build and maintain event-driven cloud pipelines using AWS services such as S3, SQS, Lambda, Cognito, and API Gateway • Develop ETL and data transformation workflows using Python • Deploy and manage containerized applications using Docker and Kubernetes (EKS) • Contribute to CI/CD pipelines using GitHub Actions and ArgoCD • Collaborate with product, engineering, and deployment teams to deliver reliable production-ready solutions • Troubleshoot production issues, improve system performance, and support scalability initiatives • Participate in technical discussions, architecture reviews, and engineering best practices
• 7+ years of experience in Full‑Stack engineering, working across frontend, backend, and production environments • Experience building scalable, high-availability platforms that support large user volumes, complex workflows, and production-critical operations • Strong frontend experience with React (Remix), TypeScript, and Vue.js (Vue 2 – legacy) • Backend experience using NestJS and building APIs / microservices • Solid experience with relational databases (RDBMS) and familiarity with MongoDB and Amazon Redshift • Hands‑on experience with public cloud platforms (AWS preferred) and services such as S3, SQS, Lambda, Cognito, and API Gateway • Experience building event‑driven pipelines (S3 → SQS → Lambda), using Python for ETL and data transformation • Experience with CI/CD pipelines (GitHub Actions, ArgoCD) and containerized deployments using Docker and Kubernetes (EKS) • Comfortable working independently, taking ownership, and operating in a fast‑moving environment
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