- Notice period: Immediate joiners
- Mode of hiring – Permanent
- Work mode-Hybrid
Strong hands-on experience building modern web applications using:
- Python (FastAPI / Django / Flask)
- React.js
- REST APIs & asynchronous workflows
- PostgreSQL / MySQL / MongoDB
- Modern frontend state management and component-driven architecture
Ability to design scalable backend services with:
- API-first architecture
- Authentication & authorization
- Background job processing
- Caching and performance optimization
- Database schema design and query optimization
- (Optional) OpenAPI contracts and Zod validations
Strong understanding of:
- React ecosystem
- Responsive UI development
- API integration patterns
- Reusable component architecture
- Frontend performance optimization
Working knowledge of:
- Docker & containerized development
- CI/CD workflows
- AWS/Azure basics
- Deployment and environment management
- Git-based development workflows
Hands-on proficiency with modern AI-assisted engineering tools such as:
- GitHub Copilot
- Cursor
- OpenAI Codex
- Claude Code
Candidate should be comfortable using AI tools for:
- rapid development,
- debugging,
- refactoring,
- code generation,
- documentation,
- test creation,
- and developer productivity acceleration.
Strong understanding of:
- clean architecture principles,
- modular coding practices,
- code reviews,
- testing strategies,
- maintainability,
- and production-grade engineering standards.
4–8 years of experience in full stack application development.
Ability to understand business workflows and independently translate requirements into technical implementation.
Comfortable owning features end-to-end:
- requirement clarification,
- development,
- testing,
- deployment,
- and production support.
Ability to communicate clearly with both technical and non-technical stakeholders.
- Solution Architecture Exposure
Exposure to designing application architecture, technical workflows, or scalable system design will be a strong advantage.
Exposure to specification-driven engineering approaches such as:
- structured technical specifications,
- AI-assisted implementation workflows,
- reusable engineering templates,
- or spec-first development practices
will be considered a major plus.
Understanding of how LLM-powered workflows, AI agents, or automation pipelines can be integrated into business applications is an added advantage.
- Build and maintain scalable web applications across frontend and backend systems.
- Design and implement backend APIs and integrate external/internal services.
- Develop clean, reusable, and responsive React-based user interfaces.
- Leverage AI-assisted coding workflows to improve delivery speed, engineering quality, and developer efficiency.
- Work closely with business stakeholders to deliver production-reusable solutions.
- Contribute to, and use reusable engineering patterns, internal libraries, and maintainable codebases.
- Actively participate in improving development workflows, engineering standards, and delivery practices.
