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