Job Title: Principal Engineer – Full Stack
Location: Remote
Job Description
We’re looking for a Principal Engineer – Full Stack with 8+ years of experience in building, architecting, and delivering scalable, high-performance web applications.
The ideal candidate brings deep expertise in Node.js, React.js, Go (Golang), and GraphQL , along with strong experience in system architecture, database design , and cloud-native deployments .
You’ll lead technical strategy, ensure system reliability, and drive engineering excellence across teams.
Key Responsibilities
- Architect and build scalable applications using Node.js , Golang , and React.js
- Develop and maintain high-performance APIs and microservices with GraphQL and Apollo .
- Create modern, reusable frontend components with React.js and TypeScript .
- Design and optimize PostgreSQL databases, including PostGIS extensions.
- Implement CI/CD pipelines , Terraform , and Kubernetes deployments on AWS/GCP .
- Ensure reliability through automated testing using Jest , Cypress , and Testing Library .
- Collaborate across teams on architecture , performance optimization , and best practices .
Must Have
- 8+ years of hands-on experience in full-stack engineering , architecture , and system design .
- Expert proficiency in Node.js for scalable backend architecture.
- Deep experience with React.js and modern frontend development.
- Strong command of Go (Golang) for performant, distributed systems.
- In-depth knowledge of GraphQL and Apollo Client/Server for scalable APIs.
- Extensive experience with PostgreSQL design, optimization, and PostGIS .
- Advanced TypeScript/JavaScript expertise across the full stack.
- Strong focus on testing and code quality using Jest , Cypress , and Testing Library .
Good to Have
- Architectural experience with React Native for cross-platform apps.
- Hands-on with Next.js and NestJS for maintainable solutions.
- Experience with Kafka for event-driven systems.
- Knowledge of Temporal for workflow orchestration.
- Proficiency with Docker and Kubernetes for containerized deployments.
- Working knowledge of Redis for caching and session management.
- Experience with DataDog or similar monitoring tools.