Job
Description
Job Summary: We are seeking a Microservices Developer with strong expertise in Java Spring Boot, Cloud-Native architecture, and API development . The ideal candidate should have hands-on experience with container orchestration (Kubernetes) , event-driven systems , and integration platforms . This role requires working with Azure services, performance monitoring tools , and ERP systems like Oracle, SAP, or NetSuite . Roles & Responsibilities: Design, develop, and maintain Microservices using Java Spring Boot in a Cloud-Native environment. Develop and integrate event-driven and API-based solutions. Work with Spring Reactive Programming to build scalable, high-performance applications. Implement and manage Kubernetes for container orchestration. Monitor and optimize application performance using Dynatrace or similar APM tools . Work with Azure Power Platform Services, Logic Apps, Azure APIM, and Azure Data Services . Implement messaging and integration solutions using Azure Service Bus, OIC, RabbitMQ, or Kafka . Collaborate with ERP systems such as Oracle, SAP, or NetSuite for seamless integration. Use Git and GitHub for version control and collaborative development. Ensure code quality, security, and scalability through best practices and code reviews. Required Skills & Qualifications: Must Have: 5+ years of experience in Microservices development using Java Spring Boot . Strong knowledge of Cloud-Native architecture . Experience with API development and Event-Driven Systems . Hands-on experience with Spring Reactive Programming . Proficiency in Kubernetes and container orchestration . Experience with Application Performance Management (Dynatrace or similar tools) . Knowledge of Azure Power Platform, Azure APIM, and Azure Data Services . Experience with one or more Integration platforms (Azure Service Bus, OIC, RabbitMQ, Kafka). Understanding of ERP systems like Oracle, SAP, or NetSuite . Strong experience with Git and GitHub for version control. Good to Have: Experience with CI/CD pipelines for automated deployments. Familiarity with serverless computing and cloud functions . Strong understanding of security best practices in microservices architecture. Exposure to AI/ML services in Azure or other cloud platforms. Additional Information: Minimum 5+ years of experience in Microservices development . Full-time education (15 years) is required.
