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GBIT (Global Bridge InfoTech Inc)

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Senior Java Software Engineer

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Summary

Senior Java Engineer developing scalable microservices and cloud-native applications on Azure. Core stack includes Java Spring Boot, Kubernetes, Confluent Kafka, and a variety of SQL/NoSQL databases like PostgreSQL, MongoDB, and Neo4j.

Job Description

Role: Software Engineer- 6+ Yrs Location: Hyderabad || Hybrid Job Details We are seeking a highly skilled Senior Java Engineer with expertise in Spring Boot, distributed systems, and cloud-native development . The ideal candidate will have strong experience working on Azure cloud deployments , microservices architecture, and event-driven systems with Confluent Kafka . You will also work with PostgreSQL, MongoDB, Neo4j, Elasticsearch, and Redis for data management, caching, and search capabilities, while leveraging Kubernetes (k8s) for scalable deployments. Responsibilities Design, develop, and deploy scalable microservices using Java Spring Boot . Implement cloud-native applications on Azure Cloud leveraging services like AKS, ADO (Azure DevOps CI/CD), Functions, and Service Bus. Build event-driven architectures using Confluent Kafka . Work with relational and NoSQL databases (PostgreSQL, MongoDB, Neo4j) for structured and graph-based data storage. Implement search and indexing solutions using Elasticsearch . Optimize performance with Redis caching mechanisms . Manage containerization and orchestration using Docker and Kubernetes. Design and implement CI/CD pipelines with Azure DevOps (ADO). Ensure application security, monitoring, and observability best practices. Collaborate with cross-functional teams including Product, QA, and DevOps. Skills 7+ years of experience in backend development with Java (Spring Boot, Microservices) . Strong expertise in Azure Cloud (AKS, Azure Functions, Azure DevOps). Hands-on with Kubernetes (k8s), Docker, and CI/CD pipelines . Proficiency in Confluent Kafka (streams, topics, consumer groups, schema registry). Database expertise in: PostgreSQL (relational DB design, performance tuning). MongoDB (document-based). Neo4j (graph database). Experience with Elasticsearch for indexing/search. Strong knowledge of Redis for caching. Solid understanding of system design, distributed systems, and scalability . Strong problem-solving and debugging skills. Familiarity with Agile/Scrum methodologies .

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