MEAN Stack Senior Developer

Job description

**MEAN Stack Senior Developer** **Experience** 5+ Years **Domain** Insurance / Banking (preferred) **Role Overview** MEAN stack developer with experience in solution development and functional analysis. Be a champion for both technical and functional solutions across full-stack development. Follow Agile delivery methodology and assist others in the team. **Key Responsibilities** Develop and maintain web applications using the MEAN stack (MongoDB, Express.js, Angular.js, Node.js). Collaborate with cross-functional teams including designers, product managers, and backend engineers. Write clean, maintainable, and efficient code following best practices. Implement responsive UI components and ensure seamless user experience. Optimize applications for maximum speed and scalability. Troubleshoot, debug, and upgrade existing software. Participate in code reviews and contribute to team knowledge sharing. Stay updated with emerging technologies and industry trends. Well versed in using AI tools like GitHub Copilot. **Required Skills, Qualifications & Experience** Angular.js, Node.js, Express.js, NestJS MongoDB (MongoDB Atlas preferred) REST APIs, Microservices architecture AWS (basic deployment & services) SQL (Postgres / Oracle – basic understanding) Git / GitHub version control HTML5, CSS3, responsive design Authentication mechanisms (JWT, OAuth) **Good to Have** • Rule engine integration (Workflow orchestration BPM or CIB7) – experience consuming Workflow orchestration REST API, managing process variables, and embedding BPMN/DMN decision logic within MEAN applications. **What Makes You Stand Out?** Demonstrates ability to analyze a problem end-to-end. Strong relationship building and customer focus. Insurance domain experience. **AI & GitHub Copilot Capabilities** Leverage GitHub Copilot for intelligent code completion, reducing boilerplate and accelerating sprint velocity. Use Copilot Chat to explain complex code blocks, suggest refactors, and auto-generate unit test stubs. Apply AI-powered static analysis (CodeClimate, SonarQube AI rules) to proactively detect code smells. Utilize AI pair programming to generate RESTful API scaffolding and MongoDB schema definitions from natural language prompts. Adopt AI-assisted code review workflows (GitHub Copilot PR summaries) to improve review turnaround. Explore AI tools for automated documentation generation (JSDoc / Swagger spec drafting via Copilot).