Fullstack Developer (MERN + AI)

Job Description

Job Description

We're looking for a Fullstack Developer (MERN + AI) to build scalable, secure, and high-performing applications. This role involves working across both front-end and back-end layers, contributing to system design, development, and overall code quality.

You will collaborate with cross-functional teams, solve complex technical problems, and help deliver reliable, production-ready solutions.

• 6+ years of professional experience in software development, with strong exposure to both front-end and back-end.
• Proficiency in JavaScript/TypeScript and at least one back-end language (Node.js).
• Solid understanding of modern front-end frameworks (React preferred).
• Experience building and consuming RESTful and/or GraphQL APIs.
• Strong experience with relational and NoSQL databases.
• Strong understanding of software engineering best practices, design patterns, and system architecture.
• Excellent problem-solving skills, with the ability to break down complex problems into manageable solutions.
• Strong communication and collaboration skills.
• Experience with microservices architecture.
• Knowledge of containerization (Docker, Kubernetes).
• Familiarity with message queues (Kafka).
• Exposure to performance optimization and large-scale distributed systems.

• Design and develop scalable, secure, and high-performing applications using modern frameworks and cloud-native approaches.
• Build responsive, accessible, and performant user interfaces with technologies like React, Vue, or Angular.
• Develop APIs, services, and business logic using Node.js or similar.
• Work with relational and non-relational databases (PostgreSQL, MySQL, MongoDB, etc.) and optimize queries for performance.
• Write clean, testable, and maintainable code; perform code reviews; implement automated tests.
• Partner with cross-functional teams to refine requirements, deliver features on time, and ensure technical feasibility.
• Guide junior developers through code reviews, pair programming, and knowledge-sharing sessions.