Job Title : Senior Backend Engineer (Java / Spring Boot / System Design)
Experience : 4 - 6 Years
Location : Bangalore (In-Office)
Industry : Product / Tech Startup
About the Role :
We are looking for a Backend Powerhouse who lives and breathes high-scale distributed systems. At HiringBlaze, we are scouting for a top-tier Java Developer for our client who is transitioning from traditional architectures to AI-driven industrial intelligence.
If you are a 4-year veteran who can lead System Design (HLD/LLD) discussions and is excited about the intersection of Java Ecosystem and Generative AI (RAG/Agentic AI), this is the role for you.
Technical Requirements (Must Haves) :
- Core Java & Frameworks : Expert proficiency in Java 11/17 , Spring Boot, and Hibernate/JPA.
- System Design (Core Focus) : Proven experience in designing scalable Microservices. You should be able to justify your choices in LLD (Design Patterns, SOLID) and HLD (Scalability, Fault Tolerance).
- Databases : Solid experience with RDBMS (PostgreSQL/MySQL) and NoSQL (MongoDB/Cassandra). Deep understanding of indexing, query optimization, and schema design.
- Concurrency : Deep understanding of multi-threading, JVM internals, and garbage collection tuning.
- Messaging & Caching : Hands-on experience with Kafka, RabbitMQ, and Redis.
The AI Advantage (Big Plus) :
- We are moving towards an Agentic AI future. Candidates with exposure to the following will be prioritized :
- Generative AI & LLMs : Understanding of integrating LLMs into backend workflows.
- RAG (Retrieval-Augmented Generation) : Experience with Vector Databases (Pinecone, Milvus, or Weaviate).
- Agentic Frameworks : Exposure to LangChain, LlamaIndex, or building autonomous AI agents.
Key Responsibilities :
- Architectural Leadership : Take ownership of the end-to-end design and implementation of complex backend services.
- Code Excellence : Write "Clean Code" that is modular, testable, and highly efficient.
- Performance Engineering : Identify bottlenecks in the system and optimize for sub-second latency and high throughput.
- Mentorship : Conduct rigorous code reviews and drive engineering best practices within the team.
- Innovation : Actively research and implement AI-driven features (RAG/Agents) to enhance the core product.
What We Offer :
- Top-of-the-Market Compensation : Up to 30 LPA for the right candidate.
- Architecture-First Culture : A workplace where technical debt is addressed, and HLD/LLD is given priority over "quick fixes."
- Cutting-Edge Stack : Work at the forefront of Java and Generative AI integration.