BigStep Technologies - Principal Engineer - Full Stack Development

Description :

Job Title : Principal Engineer - Full Stack

Location : Remote

Job Description :

Were 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.

Youll 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.