Senior Full Stack Engineer - Mean Stack

We are looking for a Senior Full Stack Engineer with strong hands-on coding expertise who can independently drive the complete engineering lifecycle. From requirement analysis and system design to coding, schema modelling, testing, and deployment, you will take full ownership of features and systems. This is a highly hands-on coding role where you will design and implement scalable systems while working across both backend and frontend technologies. You should be comfortable working in modern AI-assisted development environments and leveraging coding agents to improve productivity while maintaining strong engineering discipline and code quality.

Responsibilities:

• Gather and analyse product requirements and translate them into technical designs and production-ready code.
• Build robust backend services using Node.js and develop clean, reusable frontend modules using Angular (TypeScript).
• Design, model, and optimise MongoDB schemas, indexes, and queries for performance and scalability.
• Architect and develop systems following Microservices Architecture principles.
• Write unit and integration tests to ensure code quality and reliability.
• Debug and resolve issues with root-cause analysis and permanent fixes.
• Deliver features end-to-end: requirement analysis, design, development, schema modelling, testing, and deployment.
• Leverage AI-powered coding tools and coding agents to accelerate development while ensuring correctness, maintainability, and performance.

Requirements:

• 3+ years of professional experience in full-stack engineering.
• Strong coding expertise in Node.js, Angular, and TypeScript.
• Proven experience designing and building Microservices-based architectures.
• Solid understanding of JavaScript and TypeScript fundamentals.
• Strong experience with MongoDB schema design, aggregations, indexing, and query optimisation.
• Excellent debugging, problem-solving, and performance optimisation skills.
• Ability to independently own complete feature lifecycles from concept to production.
• Hands-on experience with modern AI-assisted development tools such as Cursor IDE, AI coding agents, Copilot, or similar tools, and the ability to effectively integrate them into the development workflow ("vibe coding").

Good to Have:

• Experience with CI/CD pipelines for automated build and deployment.
• Knowledge of containerization and orchestration tools such as Docker and Kubernetes.
• Familiarity with scalable distributed system design patterns.
• Experience working in AI-augmented development environments that use autonomous coding assistants.