Java Full Stack Engineer - Professional
Apply NowCompany: Hexaware Technologies
Location: New York, NY 10025
Description:
Job Description
JD for Low Latency Developer (7+ years of experience), Java FSD developer with strong expertise in backend-heavy skills (Core Java, multithreading, Spring, Spring Boot, REST API, Distributed Systems, Messaging and Streaming )Strong experience in REST API modeling and implementation. Must have expertise in low-latency messaging systems (e.g., Kafka, RabbitMQ), database optimization techniques, and REST API design for efficient data handling. Should be proficient in designing scalable systems, troubleshooting complex issues, performance tuning and optimization strategies. Strong hands on in testing automation, unit testing and performance testing using frameworks i.e, Junit, Mockito, SonarQube, JMeter.. etc Should have a strong understanding of design patterns, resource utilization strategies, and performance optimization methodologies to ensure system efficiency and reliability. Moderate exposure expected in caching strategies (e.g., Redis), container orchestration tools like Kubernetes, and performance profiling tools like JProfiler and VisualVM.
JD for Low Latency Developer (7+ years of experience), Java FSD developer with strong expertise in backend-heavy skills (Core Java, multithreading, Spring, Spring Boot, REST API, Distributed Systems, Messaging and Streaming )Strong experience in REST API modeling and implementation. Must have expertise in low-latency messaging systems (e.g., Kafka, RabbitMQ), database optimization techniques, and REST API design for efficient data handling. Should be proficient in designing scalable systems, troubleshooting complex issues, performance tuning and optimization strategies. Strong hands on in testing automation, unit testing and performance testing using frameworks i.e, Junit, Mockito, SonarQube, JMeter.. etc Should have a strong understanding of design patterns, resource utilization strategies, and performance optimization methodologies to ensure system efficiency and reliability. Moderate exposure expected in caching strategies (e.g., Redis), container orchestration tools like Kubernetes, and performance profiling tools like JProfiler and VisualVM.