The Full-Stack Nextjs / Mern Developer role is ideal for a highly skilled and self-driven professional with strong expertise in building modern, high-performance web applications. The position involves developing dynamic front-end interfaces using React and robust back-end APIs using Node.js/NestJS, ensuring seamless integration, security, and scalability across the stack.
You will work closely with cross-functional teams to design, build, and deploy web platforms and dashboards, automate workflows, manage data pipelines, and optionally integrate AI/ML models into production environments.
Key Responsibilities
- Design, develop, and deploy scalable web applications using React, Node.js, and NestJS.
- Build reusable UI components, ensuring responsiveness, performance, and accessibility.
- Develop and maintain RESTful and GraphQL APIs.
- Architect and manage database structures (SQL/NoSQL) for optimized performance and reliability.
- Implement CI/CD pipelines and automation for build, testing, and deployment workflows.
- Collaborate with UI/UX designers and backend engineers to deliver seamless full-stack experiences.
- Integrate third-party APIs and cloud services where required.
- Ensure code quality, security, and maintainability through best practices and documentation.
- (Optional) Contribute to machine learning integration or MLOps pipelines to automate data-driven features.
Requirements
- Minimum 3 years of professional experience developing full-stack web applications.
- Expertise in React.js, including hooks, state management (Redux/Context), and performance optimization.
- Strong backend experience in Node.js and NestJS (or Express).
- Database proficiency (PostgreSQL, MySQL, FireStore or MongoDB).
- Experience with API integrations and authentication (JWT, OAuth).
- Familiarity with Git, Docker, and modern CI/CD workflows.
- Strong analytical and problem-solving skills.
- Ability to work independently and deliver under tight deadlines.
Preferred Experience
- Experience with TypeScript, Next.js, or microservices architecture.
- Exposure to Machine Learning workflows or MLOps concepts.
- Familiarity with cloud platforms (GCP, AWS, Azure).
- Knowledge of automated testing frameworks (Jest, Cypress).