Derq
Full-Stack Engineer (Scalable Systems)
Rol remoto de Full Stack Engineering con fit claro de ubicación del candidato.
Publicado20 jun 2026
Países elegibles1 país aceptado
Señal de senioritySenior
Modelo de trabajoRemoto
Ubicaciones aceptadas para candidatos
Canadá
Resumen del rol
Full-Stack Engineer (Scalable Systems)
Requisitos y responsabilidades
Contenido del rol extraído en secciones para revisar más rápido.
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
Requirements
- 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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