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# Java Developer

- **Company:** EXL SERVICE
- **Location:** United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Data Analysis, Code Review, Software Debugging, Performance Tuning, Redis, Data Streaming, Spring-boot, Caching, Backend, Event Driven Architecture, Information Technology, Apache Kafka, Stream Processing
- **Published:** June 11, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=d6bec22608caf66f

## About the Role

Do you have experience in Technical troubleshooting support?, Qualifications: Graduate in Data Science, Computer Science, Statistics, or a related field. 3-4 years of experience in data science or data analysis.

## Description

Job Description: We are looking for a highly skilled and self-driven Java Developer with strong experience in Java and Spring Boot to design, build, and maintain scalable backend systems. The ideal candidate has hands-on expertise with Kafka and event-driven architectures, including producer/consumer patterns and stream processing, and a deep understanding of caching technologies such as Redis and in-memory caching strategies to drive performance optimization and system scalability.

This role requires engineers who are comfortable working independently , taking full ownership of complex components , and making sound architectural and design decisions. The successful contractor will thrive in a fast-paced environment , contribute effectively with minimal handholding, and consistently deliver high-quality, resilient solutions while collaborating with cross-functional teams as needed.

 * Responsibilities: Design, develop, and maintain scalable backend services using Java and Spring Boot
 * Build and support event-driven architectures leveraging Kafka , including producer/consumer implementations and stream processing
 * Take end-to-end ownership of complex system components, from design through deployment and support
 * Make sound architectural and design decisions aligned with performance, scalability, and reliability requirements
 * Implement and optimize caching solutions using Redis and in-memory caching strategies to improve system performance
 * Perform performance tuning, bottleneck analysis, and optimization across services and data flows
 * Ensure high code quality through clean design, reusable components, and best practices
 * Debug, troubleshoot, and resolve production issues with minimal supervision
 * Collaborate effectively with cross-functional teams while working independently with minimal handholding
 * Contribute in a fast-paced environment , delivering reliable solutions within tight timelines
 * Participate in code reviews and technical discussions to continuously improve system design and engineering standards


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