Zensar Technologies—MERN Developer

Job description

Description: Role Overview Design solutions, drive best practices, and mentor development teams. Follow and enforce Agile delivery methodology Experience: 5+Yeras 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. Requirements: . Responsibilities: Role Overview Lead architect and technical authority for full-stack delivery. 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.