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Lead Java Backend Developer

Lead Java Backend Developer

iTheme Consulting Pvt LtdHyderabad
5 hours ago
Job description

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 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.
  • (ref : hirist.tech)

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