Job description

We are looking for an experienced Senior Full Stack Engineer with strong expertise in Node.
js, React.js, and Generative AI-assisted software development.
The ideal candidate will have hands-on experience building scalable enterprise applications and a strong ownership mindset with the ability to independently drive tasks from design through delivery.
This role requires an engineer who is proactive, self-driven, and comfortable working in fast-paced product engineering environments with minimal supervision.
The candidate should demonstrate strong problem-solving skills, a "go-getter" attitude, and the ability to take complete ownership of deliverables without requiring frequent follow-ups.
Key Responsibilities Design, develop, and maintain scalable full-stack applications using Node.
js and React.
js. Build secure, high-performance RESTful APIs and backend services.
Develop responsive and reusable frontend components using React.
js and modern JavaScript/TypeScript practices.
Design and implement scalable enterprise-grade solutions across business platforms and enterprise systems.
Leverage Generative AI tools and AI-assisted coding practices to improve development productivity and code quality.
Collaborate with cross-functional teams including Product, QA, DevOps, and business stakeholders.
Participate in technical discussions, code reviews, and architectural decisions.
Troubleshoot and resolve production issues while ensuring application performance and reliability.
Follow software engineering best practices including clean code, testing, documentation, and CI/CD processes.
Take complete ownership of assigned tasks and deliverables from requirement analysis through production deployment.
Continuously identify opportunities for engineering improvements and process optimization.
Required Technical Skills Minimum 5+ years of hands-on experience in Full Stack Development.
Strong expertise in: Node.
js React.js JavaScript (ES6+) TypeScript Strong understanding of: RESTful API development Microservices architecture Frontend and backend application design principles Software design patterns and best practices Hands-on experience developing scalable enterprise applications.
Experience working with SQL and/or NoSQL databases.
Experience with Git and version control systems.
Strong understanding of Agile and modern software development methodologies.
Generative AI Requirements Hands-on experience working with Generative AI-assisted development tools and workflows.
Experience using AI coding tools such as: GitHub Copilot Claude Code Cursor ChatGPT or similar AI-assisted development platforms Understanding of prompt engineering concepts for software development.
Ability to leverage AI tools to improve engineering productivity, code quality, and development efficiency.
Required Competencies Strong ownership mindset with the ability to work independently.
Highly proactive and self-motivated with a "go-getter" attitude.
Ability to deliver with minimal supervision and follow-ups.
Strong analytical and problem-solving capabilities.
Excellent communication and collaboration skills.
Ability to adapt quickly to changing business and technical requirements.
Passion for continuous learning and engineering excellence.
Preferred Experience Experience working on enterprise platforms or large-scale business applications.
Exposure to modern software engineering practices, CI/CD pipelines, and cloud-native development is an advantage.
Experience working in Agile/Scrum environments.
Domain Business Platforms Enterprise Systems Software Engineering