Java Software Engineer

We are seeking a highly skilled Senior Java Developer with strong expertise in Spring Boot, cloud-native application development, and enterprise-scale integration. The ideal candidate will have hands-on experience in Azure Cloud, event streaming with Confluent Kafka, container orchestration, and advanced database technologies including PostgreSQL, MongoDB, Neo4j, Elasticsearch, and Redis.

Key Responsibilities:

• Design, develop, and maintain backend applications using Java 11+/Spring Boot.
• Build RESTful APIs and microservices for high-availability, distributed systems.
• Deploy and manage applications in Azure Cloud leveraging Azure DevOps (ADO) for CI/CD.
• Implement and optimize event-driven solutions using Confluent Kafka (producers, consumers, schema registry, Kafka Streams).
• Containerize and orchestrate services using Docker and Kubernetes (K8s).
• Design and optimize relational, NoSQL, and graph database models using PostgreSQL, MongoDB, and Neo4j.
• Integrate and query Elasticsearch for search capabilities.
• Implement caching strategies using Redis to improve performance.
• Collaborate with cross-functional teams, including DevOps, frontend, and QA, to ensure smooth deployments and integration.
• Monitor and troubleshoot application performance, security, and scalability in production environments.
• Write clean, maintainable, and testable code with a focus on best practices.

Required Skills & Qualifications:

• 6+ years of professional experience in Java development.
• Strong expertise in Spring Boot, Spring Data, Spring Security, Spring Cloud.
• Hands-on experience with Azure Cloud services and Azure DevOps (pipelines, repos, artifacts).
• Solid understanding of microservices architecture and distributed systems design.
• Proficiency with Confluent Kafka for event streaming and messaging.
• Experience with PostgreSQL, MongoDB, and Neo4j for relational, document, and graph data management.
• Strong knowledge of Elasticsearch for indexing and search operations.
• Practical experience with Redis for caching.
• Skilled in Docker containerization and Kubernetes orchestration.
• Familiarity with monitoring and logging tools (Prometheus, Grafana, ELK Stack, Azure Monitor).
• Excellent problem-solving, debugging, and optimization skills.