Derq
Full-Stack Engineer (Scalable Systems)
Remote Full Stack Engineering role with clear candidate location fit.
PostedJun 20, 2026
Eligible countries1 accepted country
Seniority signalSenior
Work settingRemote
Accepted candidate locations
Canada
Role overview
Full-Stack Engineer (Scalable Systems)
Requirements and responsibilities
Readable role content extracted into sections for faster review.
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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