Senior Backend Engineer - Java Technologies

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 : Strong 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.