MERN Developer

Role Overview

Design solutions, drive best practices, and mentor development teams. Follow and enforce Agile delivery methodology

Key Responsibilities

• Define system architecture and technical roadmap for MERN-based solutions.
• Design solutions and lead conversations for design approvals.
• Lead development teams and mentor engineers.
• Ensure code quality, security, and performance standards.
• Conduct code reviews and enforce best practices.
• Collaborate with stakeholders on solution design.
• Drive CI/CD, DevOps integration, and release planning.
• Identify risks and propose mitigation strategies.
• Well versed in using AI tools like GitHub Copilot.

Required Skills, Qualifications & Experience

• MERN Stack – expert level (React.js, Node.js, MongoDB, NestJS)
• Angular (good to have for hybrid ecosystems)
• AWS architecture and deployment
• Microservices & API design patterns
• Database expertise (MongoDB, Postgres, Oracle)
• CI/CD pipelines (GitHub Actions, Jenkins)
• JavaScript ES6+ including TypeScript
• Authentication & security (JWT, OAuth, OWASP)

Good to Have

• Angular for hybrid front-end ecosystems.
• GraphQL API design.
• Infrastructure-as-Code (Terraform / AWS CDK).
• Rule engine architecture knowledge (Workflow orchestration BPM, CIB7) – process modelling (BPMN 2.0 / DMN 1.3), Workflow orchestration deployment on AWS, and integrating workflow engines into microservices ecosystems.

What Makes You Stand Out?

• Advanced ability to analyse complex problems and propose viable solutions.
• Strong relationship building and customer focus.
• Ability to manage multiple concurrent initiatives.
• Insurance domain experience.
• Ability to learn and adopt new technologies as per requirement.

AI & GitHub Copilot Capabilities

• Champion GitHub Copilot adoption across the engineering team — define prompting standards and best-practice guidelines.
• Use Copilot Chat and AI models to evaluate architectural trade-offs, generate architecture decision records (ADRs).
• Leverage AI-powered code analysis tools to produce technical debt heat maps and guide sprint refactoring priorities.
• Automate PR review summaries using Copilot, freeing senior engineers to focus on high-value feedback.
• Integrate AI-assisted security scanning (GitHub Advanced Security, Copilot Autofix) into CI/CD gates.
• Use AI tools to generate Infrastructure-as-Code (Terraform / CDK) from architecture diagrams.
• Explore LLM-powered search over internal codebases for onboarding and knowledge transfer acceleration.