We are looking for a Lead Java Backend Developer (5+ years experience) to design, build, and scale backend systems for a B2B SaaS platform.
The role requires strong expertise in Java-based backend development, microservices architecture, and cloud-native systems, along with the ability to contribute to frontend when needed.
In today's AI-driven world, the candidate should leverage AI tools for faster development and be comfortable working with a go getter and full-stack mindset.
Work location is Noida.
Key Responsibilities and Requiremenst
- Own backend architecture, system design, and scalability of the platform
- Design and develop high-performance, secure, and scalable Java-based APIs and microservices
- Lead technical decisions across backend systems, databases, and integrations
- Ensure best practices in code quality, testing, observability, and performance
- Work on multi-tenant SaaS architecture, ensuring data isolation and scalability
- Collaborate closely with frontend teams and contribute to UI when required
- Build backend systems with strong understanding of frontend consumption patterns
- Mentor engineers, conduct code reviews, and drive engineering excellence
- Work cross-functionally with product, design, QA, and DevOps in Agile environment
- Quickly adapt to new technologies and drive implementation with minimal supervision
- Use AI tools to accelerate development, debugging, and code quality
- Integrate backend systems with AI/ML services (LLMs, APIs) where relevant
- Ensure smooth CI/CD integration and production reliability
Skill, Tools and Stack
- Backend: Java (Spring Boot / Spring Cloud / Hibernate)
- 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
- Frontend Awareness: React / Next.js / modern JavaScript frameworks
- 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
