Live opening · Posted 6 days ago
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Description supplied by the original job listing.
We are looking for a Lead Java Backend Developer 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 & full-stack mindset.
Work location is Noida.
Key Responsibilities and Requirements
Own backend architecture, system design, and scalability of the platform
Design & 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
Work arrangement
No
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