MERN Stack Developer

About the Role

We are looking for an experienced MERN Stack Developer to design, build, and ship scalable applications using MongoDB, Express, React, and Node.js.

You will own features across the stack and collaborate with designers, QA, and product stakeholders to deliver high-quality releases.

Key Responsibilities:

• Build and maintain full-stack applications using MEAN or MERN stacks.
• Develop scalable RESTful APIs and microservices using Node.js, Express, NestJS, or similar frameworks.
• Design and implement responsive frontend interfaces using React.js / Next.js / Angular.
• Lead development of mobile apps using React Native or Flutter based on project needs.
• Deploy, monitor, and manage applications on AWS (EC2, S3, RDS, Lambda, CloudFront, IAM, ECS, etc.).
• Work with databases such as MongoDB, PostgreSQL, MySQL, DynamoDB.
• Integrate third-party APIs, authentication systems, and payment gateways.
• Optimize applications for speed, scalability, performance, and security.
• Collaborate with designers, product managers, and QA teams to deliver polished releases.
• Participate in code reviews, architecture discussions, and mentor junior developers.

Required Skills

• Strong proficiency in JavaScript, TypeScript, Node.js, and frontend frameworks (React / Angular / Next.js).
• Hands-on expertise in backend architecture, API development, and middleware.
• Strong experience with PostgreSQL and at least one NoSQL database (MongoDB / DynamoDB).
• Good understanding of mobile app development (React Native / Flutter).
• Strong command over AWS deployments, CI/CD pipelines, infrastructure, and cloud best practices.
• Ability to design scalable architectures, reusable modules, and microservices.
• Strong debugging, performance optimization, and problem-solving skills.
• Ability to communicate fluently with clients and present technical solutions clearly.

Nice-to-Have Skills

• Experience with Docker, Kubernetes, or serverless architecture.
• Familiarity with GraphQL, Redis, WebSockets, background job queues.
• Understanding of microservices, distributed systems, and event-driven architectures.
• Exposure to performance tuning, code security, and best practices.
• Experience with AI/ML model integrations, inference APIs, or AI-driven workflows.