Full-Stack Engineer (Scalable Systems)

Derq is an MIT spinoff building AI-powered traffic safety and smart infrastructure. We’re a team of passionate innovators, leveraging the latest in AI and technology to transform the future of mobility. Our platform enhances road safety and traffic management by turning real-time data into actionable insights for cities and road operators. Our patented technology collects and analyzes data from connected sensors like cameras, radar, and traffic signal controllers to help predict and prevent road incidents. We deploy edge and cloud solutions that make intersections and highways safer and smarter. 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