We are looking for a Lead Full Stack Developer (5+ years experience)(SpringBoot + React/Angular) to design, build, and scale end-to-end systems for a B2B SaaS platform.
The role requires strong expertise across backend and frontend development, modern web architectures, and cloud-native systems, along with the ability to own features end-to-end.
In today's AI-driven world, the candidate should leverage AI tools for faster development and be comfortable working with a go-getter, product-focused, full-stack mindset.
Work location is Noida.
Key Responsibilities and Requirements
- Own end-to-end architecture, including frontend, backend, and system scalability
- Design and develop high-performance, secure, and scalable full-stack applications
- Build and maintain robust APIs and microservices along with responsive UI
- Lead technical decisions across frontend, backend, databases, and integrations
- Ensure best practices in code quality, testing, observability, and performance
- Work on multi-tenant SaaS architecture, ensuring data isolation and scalability
- Develop intuitive, performant user interfaces aligned with product needs
- Collaborate closely with product, design, QA, and DevOps in Agile environment
- Mentor engineers, conduct code reviews, and drive engineering excellence
- Build systems with strong understanding of UX, frontend performance, and API consumption
- Quickly adapt to new technologies and drive implementation with minimal supervision
- Use AI tools to accelerate development, debugging, and code quality
- Integrate systems with AI/ML services (LLMs, APIs) where relevant
- Ensure smooth CI/CD integration and production reliability
Skill, Tools and Stack
- Frontend: React / Angular/ Vue (Open to cross learn), modern JavaScript (ES6+), HTML5, CSS3
- Backend: Java (Spring Boot) (Mandatory)
- Architecture: Microservices, Distributed Systems, Event-driven architecture
- APIs: REST, GraphQL, API design best practices
- Databases: PostgreSQL / MySQL, MongoDB, Redis
- Messaging & Streaming: Kafka / RabbitMQ
- Cloud & DevOps: AWS / GCP / Azure, Docker, Kubernetes
- CI/CD: Jenkins / GitHub Actions / GitLab CI
- AI in Development: ChatGPT, GitHub Copilot, AI-assisted coding workflows
- Strong understanding of multi-tenant B2B SaaS systems is mandatory
Good to Have
- Experience in high-scale systems or startup environments
- Exposure to AI/ML integrations, vector databases, or LLM-based features
- Knowledge of real-time systems (WebSockets, streaming architectures)
- Experience in Logistics, GRC, or similar enterprise domains
