TECHNICAL LEAD - NodeJs

Job description

**JOB DESCRIPTION** **Module Lead Developer | C4** Centre of Excellence AI Productivity Job Title **Technical Lead Developer** Competency Level **C4** Team **CoE AI Productivity** Min. Experience **8 -12 Years** About the Role We are seeking an experienced Technical Lead Developer to join the Centre of Excellence AI Productivity team. At C4, you are a step beyond individual contribution you own a defined module or workstream, guide a small group of developers, and are accountable for the quality and timely delivery of your area. You bring strong full-stack engineering skills, hands-on cloud experience, and the ability to break down requirements into well-structured technical tasks. You are beginning to influence technical decisions, mentor junior developers, and engage with stakeholders beyond your immediate team. Key Responsibilities Technical Delivery & Module Ownership - Own the design, development, and delivery of one or more application modules end-to-end - Break down feature requirements into well-scoped technical tasks for the team - Ensure code quality across the module through structured code reviews and standards enforcement - Contribute to low-level design (LLD) and participate in high-level design (HLD) discussions - Proactively identify technical risks within your module and propose mitigations Team Guidance & Collaboration - Guide and support junior and mid-level developers in task execution and problem-solving - Conduct meaningful code reviews that improve quality and build team capability - Collaborate with Technical Leads and Architects on overall solution design - Actively participate in Agile ceremonies and contribute to sprint planning and estimation Stakeholder Communication & Client Engagement - Communicate module status, blockers, and technical decisions clearly to the Technical Lead - Participate in internal and client-facing technical walkthroughs and sprint reviews - Document technical designs, API contracts, and implementation decisions Mandatory Skills **All items below are non-negotiable requirements for this role.** Backend Development - Java Spring Boot, Spring MVC, JPA/Hibernate, service-layer design Hands-On GenAI Tool Usage (CRITICAL) - Consistent hands-on use of AI coding assistants such as Claude Code, Cursor AI, or GitHub Copilot as an integral part of the development workflow for code generation, refactoring, API integration, and debugging, with the ability to critically evaluate AI-generated output and coach team members on effective usage. Full-Stack Capability - Proficient with React or Angular component architecture, state management, TypeScript - Ability to own the full stack of a module including frontend, backend, and data layer - Experience designing and consuming RESTful APIs and handling integration edge cases Cloud Platform At Least ONE - AWS hands-on with EC2, S3, Lambda, RDS, API Gateway, IAM - Azure hands-on with App Services, Azure Functions, Azure DevOps, storage Communication & Collaboration - Clear written and verbal communication with team members and technical leads - Comfortable participating in or leading internal technical walkthroughs and demos - Ability to document technical decisions, module designs, and integration specs Required Technical Skills Software Design & Engineering Practices - Working knowledge of software design patterns SOLID, Repository, Dependency Injection, MVC - Familiarity with microservices concepts and inter-service communication patterns - Experience writing unit and integration tests; understanding of test coverage practices DevOps & CI/CD - Working experience with CI/CD pipelines GitHub Actions, Azure DevOps, or Jenkins - Comfortable with Docker and basic containerisation concepts - Proficient with Git branching strategies, PR workflows, and conflict resolution Agile & Delivery Practices - Working experience in Agile / Scrum delivery environments - Drives estimation and planning for module tasks; flags risks early and clearly - Experience with Jira, Azure Boards, or equivalent task management tooling GenAI & AI Productivity - Basic understanding of Large Language Models (LLMs) and their application in software products - Awareness of prompt engineering principles and how they improve AI-assisted development - Proactively shares AI tool learnings and best practices with the wider team Preferred Qualifications - Exposure to relational and NoSQL databases SQL Server, PostgreSQL, MongoDB - Any cloud certification at associate level AWS or Azure - Understanding of security fundamentals authentication, authorisation, OWASP basics - Experience working in Agile / Scrum delivery environments with cross-functional teams Technology Landscape **Area** **Technologies** **Backend** Java / Spring Boot **Frontend** React | Angular | TypeScript | HTML5 / CSS3 **Cloud** AWS (Lambda, S3, EC2, RDS) | Azure (App Services, Functions, DevOps) **AI & GenAI** Claude Code | Cursor AI | GitHub Copilot | LLMs | Prompt Engineering **DevOps** Docker | GitHub Actions | Azure DevOps | Jenkins | Git **Data** SQL Server | PostgreSQL | MySQL | MongoDB | Redis **Tools** VS Code | IntelliJ | Postman | Jira | Confluence C4 Competency Expectations At C4, you are a reliable module owner who delivers quality, guides others, and begins to shape technical direction within your scope. **Dimension** **Expected Behaviour** **Module Ownership** Independently owns a module from design through delivery with minimal supervision **Technical Guidance** Actively supports junior developers through reviews, pairing, and task-level coaching **Design Contribution** Contributes to LLD and raises valid questions or concerns during HLD discussions **Agile Contribution** Drives estimation and planning for module tasks; flags risks early and clearly **AI Tool Proficiency** Confidently uses AI coding assistants and coaches team members on effective usage **Communication** Communicates modul