Java Backend Lead

Required Qualifications Bachelor’s or Master’s 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.