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Java Backend Lead

ValueLabs

5 - 10 years

Hyderabad

Posted: 26/02/2026

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Job Description

Required Qualifications

  • Bachelors or Masters degree in Computer Science, Engineering, or a related field.
  • 8+ years of hands-on experience in backend software development with Java, Spring Boot, Spring MVC, Hibernate, and JPA.
  • Core Java Fundamentals:
  • Deep understanding of Collections, concurrency, thread pools, JVM basics, and exception handling best practices.
  • Experience with JVM tuning, garbage collection, and memory leak diagnosis.

Enterprise Java / Transactions:

  • Strong grasp of EJB concepts (Stateless/Stateful), JTA basics, transaction propagation & rollback behavior, and container-managed vs programmatic transactions.
  • Asynchronous / Messaging Concepts:
  • Proficiency in JMS fundamentals, message lifecycle, retry handling, and idempotency awareness.
  • Experience with Kafka, RabbitMQ, and message-driven microservices.
  • JPA / Persistence Layer:
  • Expertise in entity lifecycle, persistence context, lazy vs eager loading, and handling N+1 issues.
  • Strong understanding of transaction boundaries and optimization techniques in JPA.

SQL & Query Performance:

  • Deep knowledge of indexing strategies, query optimization, and explain plan analysis.

Production Debugging & Performance:

  • Proven ability to diagnose connection leaks, thread pool exhaustion, slow application performance, and high CPU/memory usage.
  • Hands-on experience with JVM monitoring tools (JVisualVM, JMC), thread dumps, heap dumps, and profiling.

Code Quality & Testing:

  • Strong unit testing approach using JUnit, Mockito, and TestNG.
  • Adherence to clean code practices, structured exception handling, and defensive programming.

Preferred Qualifications

  • Experience in healthcare (HIPAA), FinTech (PCI DSS), education SaaS, or enterprise digital platforms.
  • Certification in AWS, GCP, or Azure (e.g., AWS Certified Developer).
  • Hands-on experience with observability tools, distributed tracing (Jaeger, Zipkin), and log aggregation.
  • Knowledge of AI/ML integration into backend systems (e.g., recommendation engines, anomaly detection).
  • Experience leading teams of 5+ engineers and managing offshore/onshore delivery.
  • Exposure to AI-powered development tools like AiDE Agent for code generation, testing, and automation.

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