Principal Engineer

3 days ago


india BigStep Technologies Full time

Job Description:We're looking for a Principal Engineer/ Architect – Full Stack with 8+ years of experience in building, architecting, and delivering scalable, high-performance web applications. The role requires deep expertise in Node.js, React.js, Go (Golang), and GraphQL, along with strong experience in system architecture, database design, and cloud-native deployments. The Ideal Candidate will lead technical strategy, ensure system reliability, and drive engineering excellence across teams.Role & 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(or any other Sql) databases- 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.Skills Required:- 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 (or any other Sql) databases.- Advanced TypeScript/JavaScript expertise across the full stack.- Strong focus on testing and code quality using Jest, Cypress, and Testing Library.- Solid understanding of design principles and C4 modelling.Good to have Skills:- Experience in building and maintaining scalable, maintainable solutions using React, React Native, and Express.js (or similar frameworks).- 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.- Experience with AI frameworks like LangChain, LangGraph, and RAG pipelines.- Exposure to OpenAI API for LLM-based application development.


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