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Derq
Development 2h ago

Full-Stack Software Engineer

Derq
BrazilBrazil
Full-time
Not Disclosed
Senior-Level

Job Description

Key Skills Required

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ReactHighly Demanded
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PythonBestseller 🔥
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FrontendBestseller 🔥
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Node.jsBestseller 🔥
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Role Overview

We are looking for a Full-Stack Software Engineer to join our growing engineering team. In this role, you will work across frontend, backend, and cloud infrastructure to build scalable, high-availability products and services powering intelligent transportation systems.

You will contribute to customer-facing applications, backend APIs, cloud-native services, and data pipelines that support real-time analytics, complex workflows, and production-critical operations. This role is ideal for someone who enjoys owning features end-to-end, building for scale, and working in a fast-moving environment where engineering has direct impact on real-world deployments.

Key Responsibilities

  • 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

Requirements

  • 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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Derq is an award-winning, MIT-spinoff Artificial Intelligence company dedicated to eliminating road fatalities and fundamentally advancing smart city infrastructure through next-generation Intelligent Transportation Systems (ITS). Founded in 2016 and headquartered in Ann Arbor, Michigan, with a major hub in Dubai, the company operates at the absolute cutting edge of urban mobility. Under the hood, Derq utilizes a proprietary, hardware-agnostic platform powered by advanced computer vision, machine learning, and sensor fusion techniques. Their flagship solutions—Derq SENSE and Derq INSIGHT—seamlessly integrate with existing municipal infrastructure like CCTV cameras, radar, and traffic signals to detect, track, and actually predict road user intent in real-time, regardless of lighting or weather conditions. Their primary target audience spans progressive municipal governments, transportation agencies, and smart city planners desperately seeking to move from reactive traffic management to proactive, data-driven collision prevention. What sets Derq apart in the rapidly evolving mobility tech space is its ability to extract incredibly granular, high-fidelity safety analytics (ATSPMs) and instantly broadcast V2X (Vehicle-to-Everything) messages, directly bridging the gap between legacy road infrastructure and the future of autonomous driving.

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