Backend Java Developer - INTL India

We are seeking a highly skilled Backend Java Developer to join our team. The ideal candidate will have strong expertise in building scalable, high-performance backend systems using Java/J2EE and Spring Boot, with experience in event-driven architectures and cloud-based solutions. This role involves working on mission-critical applications, integrating with modern data platforms, and ensuring robust, secure, and efficient backend services., Design, develop, and maintain backend services using Java/J2EE and Spring Boot frameworks.

Implement event-driven architectures leveraging Apache Kafka for real-time data processing.

Work with Cosmos DB or other multi-model NoSQL databases (e.g., Cassandra, Cloudant, OrientDB, FoundationDB) for scalable data storage solutions.

Develop and deploy applications on Azure Cloud, ensuring high availability and performance.

Collaborate with cross-functional teams to define and implement RESTful APIs and microservices.

Optimize application performance, scalability, and reliability while adhering to best practices.

Implement CI/CD pipelines and ensure smooth deployments in cloud environments.

Troubleshoot and resolve complex technical issues across distributed systems.

Stay updated with emerging technologies and contribute to architectural improvements.

5+ years of experience in backend development using Java/J2EE and Spring Boot.

Strong knowledge of Apache Kafka for event-driven and streaming architectures.

Hands-on experience with Cosmos DB or any multi-model NoSQL database (Cassandra, Cloudant, OrientDB, FoundationDB).

Proficiency in Azure Cloud services and deployment strategies.

Solid understanding of microservices architecture, REST APIs, and distributed systems.

Experience with CI/CD pipelines, containerization (Docker), and orchestration (Kubernetes).

Strong problem-solving skills and knowledge of algorithms and data structures.

Familiarity with Agile methodologies (Scrum, Kanban). Experience with performance tuning and scalability in large-scale systems.

Knowledge of security best practices in cloud and distributed environments.

Exposure to monitoring tools like Grafana, Splunk, or similar.