Java Developer - LMD

The Senior/Staff Java Developer will contribute to designing, developing, and maintaining large-scale, cloud-based applications. This role requires strong expertise in Java, Spring Boot, cloud technologies, testing, and Kafka. The engineer must be capable of working independently, owning tasks end-to-end, and contributing to high-performance engineering environments. This is a hybrid role requiring onsite work twice per week. Key Responsibilities Design, develop, and maintain backend services using Java and Spring Boot. Build scalable, reliable, cloud-native applications and microservices. Develop and maintain cloud-based solutions, working with cloud tools, CI/CD pipelines, and automation workflows. Implement and maintain event-driven architectures using Kafka. Write unit, integration, and functional tests to ensure high-quality code and system reliability. Troubleshoot, debug, and optimize application performance. Collaborate with product owners, architects, QA, and DevOps teams to deliver high-quality software solutions. Work independently on assigned tasks, driving them from requirements to production-ready deliverables. Participate in code reviews and contribute to engineering best practices. Required Qualifications Strong hands-on experience with Java development. Expertise in Spring Boot for building distributed microservices. Experience working with cloud platforms (AWS, GCP, Azure, or similar). Proficiency with Kafka for event streaming and messaging solutions. Strong background in writing automated tests and implementing testing frameworks. Proficiency with CI/CD and modern DevOps practices (Jenkins, GitHub Actions, GitLab, Azure DevOps, etc.). Ability to work independently in a fast-paced environment with minimal supervision. Strong problem-solving and debugging skills. Ability to work in a hybrid environment (twice weekly onsite). Preferred Qualifications Experience contributing to large-scale, distributed enterprise systems. Experience with microservices architecture and containerization technologies. Familiarity with Kubernetes or Docker. Experience working in Agile environments.

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