Full-Time
Senior Full-Stack Engineer
Scalable Systems
Updated on 9/4/2026
Derq
51-200 employees
AI platform for road safety analytics
No salary listed
Dubai - United Arab Emirates
Hybrid
 Software Engineering (1) |
|---|
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- At least 7 years of experience in full-stack engineering across frontend, backend, and production environments.
- Experience building scalable, high-availability platforms supporting large user volumes, complex workflows, and production-critical operations.
- Strong frontend experience with React, Remix, TypeScript, and Vue.js, including Vue 2 legacy systems.
- Backend experience using NestJS and building application programming interfaces and microservices.
- Solid experience with relational databases and familiarity with MongoDB and Amazon Redshift.
- Hands-on experience with public cloud platforms, preferably Amazon Web Services, including S3, SQS, Lambda, Cognito, and API Gateway.
- Experience building event-driven pipelines using S3, SQS, and Lambda, with Python for extract, transform, and load workflows and data transformation.
- Experience with continuous integration and continuous delivery pipelines using GitHub Actions and ArgoCD, and containerized deployments using Docker and Kubernetes, including Amazon Elastic Kubernetes Service.
- Ability to work independently, take ownership, and operate in a fast-moving environment.
- 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 application programming interfaces using NestJS and modern microservice architectures.
- Design and optimize integrations with relational databases and data platforms.
- Build and maintain event-driven cloud pipelines using Amazon Web Services services such as S3, SQS, Lambda, Cognito, and API Gateway.
- Develop extract, transform, and load and data transformation workflows using Python.
- Deploy and manage containerized applications using Docker and Kubernetes, including Amazon Elastic Kubernetes Service.
- Contribute to continuous integration and continuous delivery 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.
Derq builds an AI platform that improves road safety and traffic efficiency by connecting to existing road infrastructure such as cameras, sensors, and signal controllers. Its products are Derq INSIGHT, which analyzes sensor data to identify safety hotspots and forecast potential collisions, and Derq SENSE, an edge-computing solution that provides real-time analytics for V2X, CAV support, and adaptive traffic control. It is hardware-agnostic and designed to work with current infrastructure using computer vision and sensor fusion to model the behavior of vehicles, pedestrians, and cyclists. The company serves cities and transportation agencies and partners with ITS firms to reduce crashes, optimize traffic flow, and help communities prepare for autonomous transportation.
Company Size
51-200
Company Stage
Seed
Total Funding
$4.1M
Headquarters
Detroit, Michigan
Founded
2016
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Simplify's Take
What believers are saying
- Montréal is deploying INSIGHT across 100 intersections, one of North America’s largest installs.
- Detroit has used Derq INSIGHT for five years, proving durability and renewal potential.
- Q2 2026 INSIGHT upgrades add agentic AI, recommendation engines, and automated incident detection.
What critics are saying
- Municipal sales cycles are slow; Montréal’s 100-intersection rollout still extends through 2026.
- Derq depends on public-sector budgets and vendor integrations with AT&T, Umovity, and Tacel.
- If agencies reject AI-driven traffic analytics, Derq’s autonomous mobility thesis loses urgency entirely.
What makes Derq unique
- MIT spinoff Derq commercializes patented predictive AI for intersections since 2016.
- INSIGHT integrates with existing cameras and controllers, avoiding expensive infrastructure replacement.
- AT&T and e& capital validated Derq’s platform and expanded telecom distribution channels.
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Growth & Insights and Company News
6 month growth
↓ -6%1 year growth
↓ -4%2 year growth
↓ -7%Derq, an intelligent transportation company, has unveiled the next generation of its INSIGHT real-time analytics platform at Intertraffic 2026 in Amsterdam. The updated system uses agentic AI to help traffic agencies shift from reactive analysis to proactive decision-making in road safety. The MIT spinoff, founded in 2016, has analysed millions of near-misses and thousands of crashes across deployments in the US, Canada and the GCC region. New capabilities include interactive AI agents for data interpretation, automated incident detection for hazards like debris and low visibility, enhanced near-miss analysis with root cause insights, and a recommendation engine for safety countermeasures. Detroit has used INSIGHT for five years to monitor safety trends and guide corridor improvements. New features will roll out to customers from Q2 2026.
Derq, the leading provider of real-time AI-powered intelligent transportation system (ITS) solutions, today announced strategic investments from e& capital; the
ANAHEIM, Calif.--(BUSINESS WIRE)--The global leader for end-to-end traffic management and transportation technology, Umovity, and industry leading AI Intelligent Transportation System (ITS) provider, Derq, today announced their collaboration and first joint solution at ITS America Conference Expo in Phoenix, AZ. By linking Derq’s INSIGHT, the company’s automated safety performance monitoring application with Econolite’s industry-leading cloud-based Advanced Transportation Management System (ATMS), Centracs® Mobility, the two companies deliver a strong traffic management solution which utilizes Artificial Intelligence (AI) to increase safety for all road users. The award-winning AI-powered platform developed by MIT-spinoff Derq ingests and fuses data from connected traffic cameras and sensors and runs real-time analytics to enable continuous and actionable safety and traffic insights. Derq’s automated safety performance metrics, derived on live identification of safety events and road user behaviors such as crashes, near-misses or pedestrian and cyclist compliance issues, are translated into safety scores. Derq’s solutions have been deployed in 25 agencies across the U.S. Its intuitive map interface is flexible and configurable allowing multiple visual cues for situational awareness of the transportation operation