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Описание вакансии
Текст:
TL;DR
Fullstack Software Engineer (AI): Building scalable, high-availability frontend applications, backend APIs, cloud-native services, and data pipelines for intelligent transportation systems with an accent on real-time analytics, event-driven architecture, and production reliability. Focus on designing end-to-end features with React, NestJS, AWS, Python, Docker, and Kubernetes, while solving complex scalability and deployment challenges.
Location: Remote from Mexico City, Mexico
Company
Derq is an MIT spinoff building AI-powered traffic safety and smart infrastructure solutions for cities and road operators.
What you will do
- Design, develop, and maintain full-stack applications across frontend and backend systems.
- Build responsive frontend applications with React, Remix, TypeScript, and Vue.js.
- Develop backend services and APIs with NestJS and modern microservice architectures.
- Build event-driven AWS cloud pipelines and Python-based ETL and data transformation workflows.
- Deploy and manage containerized applications with Docker and Kubernetes on EKS.
- Collaborate across product, engineering, and deployment teams to troubleshoot production issues and improve scalability and reliability.
Requirements
- 5+ years of full-stack engineering experience across frontend, backend, and production environments.
- Strong experience with React, Remix, TypeScript, Vue.js, NestJS, APIs, and microservices.
- Experience with relational databases, plus familiarity with MongoDB and Amazon Redshift.
- Hands-on AWS experience with services including S3, SQS, Lambda, Cognito, and API Gateway.
- Experience with event-driven pipelines, Python ETL, CI/CD, GitHub Actions, ArgoCD, Docker, and Kubernetes.
- Ability to work remotely from Mexico City, Mexico, operate independently, and take ownership in a fast-moving environment.
Culture & Benefits
- Work remotely as part of a growing engineering team.
- Build technology with direct impact on real-world traffic safety and mobility deployments.
- Collaborate with product, engineering, and deployment teams on production-critical systems.
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