We are seeking a skilled Full Stack Engineer with 6-8 years of experience to design and deliver scalable enterprise product features across front-end and back-end layers. The ideal candidate will have strong engineering fundamentals, hands-on experience building production-grade applications, and the ability to work effectively with modern AI-powered development tools to accelerate delivery while maintaining quality and maintainability.

Key Responsibilities

- Design, develop, test, and deploy end-to-end product features across front-end and back-end layers.
- Build scalable, secure, and maintainable services, APIs, and user-facing functionality.
- Collaborate with product, design, QA, and architecture teams to translate requirements into technical solutions.
- Participate in technical design discussions and contribute to application architecture decisions.
- Integrate front-end applications with backend services, APIs, and enterprise systems.
- Write clean, testable, and well-documented code following engineering best practices.
- Support CI/CD pipelines, code reviews, and release activities.
- Troubleshoot defects, performance issues, and integration issues across the stack.
- Use AI-assisted development tools effectively for coding, debugging, testing, refactoring, and documentation.
- Stay current with emerging engineering practices, frameworks, and delivery methods.

Required Skills & Experience
- 6-8 years of software development experience, with a strong combination of front-end and back-end engineering.
- Robust hands-on programming experience in Java and Python, with ability to build scalable backend services and APIs in both.
- Hands-on experience with React for front-end development.




- Good understanding of REST APIs, integration patterns, authentication, authorization, and secure application design.
- Experience with databases, data modeling, and query optimization.
- Knowledge of software design principles, object-oriented programming, data structures, and algorithms.
- Experience with modern development practices including unit testing, code reviews, branching strategies, and CI/CD.
- Exposure to cloud platforms such as AWS, Azure, or other cloud environments.
- Experience with containers and deployment concepts such as Docker and Kubernetes is a plus.
- Strong debugging, problem-solving, and system troubleshooting skills.

AI-Assisted Engineering
- Demonstrated ability to use AI-powered development tools such as GitHub Copilot, Claude Code, Cursor, Windsurf, Cline, Aider, Codex, or similar.
- Experience using AI tools to improve productivity in code generation, debugging, testing, refactoring, and documentation.
- Ability to use AI responsibly while maintaining engineering quality, security, and code review discipline.

Education

Bachelor's or Master's degree in Computer Science, Engineering, or a related technical discipline preferred.

Preferred Qualifications

- Experience working in enterprise product environments.
- Exposure to distributed systems and microservices-based architecture.
- Familiarity with observability, monitoring, and performance tuning.
- Experience working in Agile/Scrum delivery teams.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Fullstack Engineer (Mumbai)
🏢 Trigyn Technologies
📍 Mumbai