Lead Java Backend Developer

2 weeks ago


Hyderabad, Telangana, India iTheme Consulting Full time ₹ 20,00,000 - ₹ 25,00,000 per year

We are hiring an experienced Java Backend Lead Developer to join a dynamic team supporting a major U.S. banking client. This role requires a hands-on engineer with deep experience in backend development, cloud-native deployment, and containerized microservices. Youll be responsible for building secure, scalable, and high-performance services within a complex, BFSI-aligned architecture. Ideal candidates are technically strong, detail-oriented, and capable of driving both development and deployment efforts in a hybrid work environment.

Client : US-based Global Banking Institution

Notice Period : 21 Days

Model : Hybrid (3 Days Onsite)

Key Responsibilities :


- Design, develop, and maintain enterprise-grade backend services using Java and Spring Boot.

- Build secure and scalable RESTful APIs with comprehensive documentation and error handling.

- Architect and contribute to microservices with strong service isolation, API gateways, and circuit breakers.

- Manage data persistence with JPA/Hibernate and write optimized SQL for complex queries and transactions.

- Support containerization and deployment of services using Docker and Kubernetes.

- Collaborate on cloud deployments (GCP, AWS, or Azure) using managed services for compute, networking, and storage.

- Lead CI/CD processes using Jenkins or GitLab CI and troubleshoot pipeline failures or deployment issues.

- Coach junior team members and engage in regular code reviews, best practices enforcement, and process improvements.

- Monitor and debug application issues using observability tools like ELK, Prometheus, or Splunk.

- Ensure high unit test coverage and robust integration testing using JUnit, Mockito, and related frameworks.

Technical Skills & Expertise :

Candidates should have strong hands-on experience with the following :

- Java 8/11+ with deep knowledge of object-oriented principles, functional programming (Lambdas, Streams), memory management, and exception handling.

- Spring Boot and Spring Security, including configuration of beans, profiles, and JWT-based authentication/authorization.

- RESTful API development with understanding of HTTP methods, headers, pagination, versioning, and OpenAPI/Swagger documentation.

- Microservices architecture including service discovery, stateless design, container orchestration, and fault tolerance patterns.

- Multithreading and concurrency concepts with working knowledge of synchronization, ExecutorService, and debugging race conditions or deadlocks.

- JPA/Hibernate for ORM mapping, transaction management, lazy loading, cascading, and native query execution.

- CI/CD pipeline workflows using Jenkins or GitLab CI with knowledge of build/test/deploy stages and environment variable management.

- Kubernetes deployment and management using YAML (pods, services, ConfigMaps, probes), with experience in GKE or OpenShift preferred.

- Cloud platforms like AWS, GCP, or Azure for deploying Java-based backend workloads (compute, networking, storage).

- Unit and integration testing using JUnit, Mockito, and optional tools like Testcontainers, targeting 60%+ code coverage.

- Git-based version control with experience in rebasing, merge conflict resolution, and branching strategies (e.g., Git Flow).

Nice-to-Have Skills :


- Messaging systems like RabbitMQ or Kafka, with understanding of queue/topic setup, retries, and dead-letter queues.

- Build tools such as Maven or Gradle, including dependency management and plugin configuration.

- Exposure to OpenShift CLI or console and familiarity with OpenShift-specific deployment YAMLs.

- Docker for containerizing Spring Boot applications, understanding image layers, volumes, and networking.

- Observability tools such as ELK, Prometheus, or Splunk for log tracing and monitoring application health.

- Familiarity with authentication standards like OAuth2 and JWT in a microservices environment.

- Working knowledge of software design patterns such as Singleton, Factory, Strategy, and their practical application in large-scale systems.



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