Java Developer

1 week ago

Abu Dhabi, Abu Dhabi, United Arab Emirates Quikr Full time 90,000 - 120,000 per year

Role - Java Developer (Backend Engineer)

Experience - 5+ years of professional experience in Java development

Compensation - As per company standards

Location - Abu Dhabi, UAE

JD

Job Summary

We are seeking a Java Developer with strong expertise in Spring Framework, JDK 21, Redis, PostgreSQL, and Microservices architecture. This role involves designing, developing, and maintaining scalable, high-performance applications. Experience integrating AI/ML capabilities within enterprise grade systems will be considered a strong plus.

Key Responsibilities


•    Design, develop, and maintain Java-based applications using Spring Framework and JDK 21.


•    Build and deploy scalable microservices with well-structured REST APIs.


•    Integrate and optimize caching and session management solutions using Redis.


•    Develop and maintain relational data models and complex queries in PostgreSQL.


•    Ensure high standards of application performance, security, and scalability.


•    Collaborate with DevOps, QA, and Product teams to deliver end-to-end solutions.


•    Participate in code reviews, troubleshooting, and performance tuning.


•    Stay updated with emerging technologies, modern development practices, and cloud solutions.

Required Skills & Qualifications


•    5+ years of professional experience in Java development.


•    Strong hands-on expertise with Java (JDK 21) and Spring Boot, Spring Data, Spring Security.


•    Proven experience developing RESTful APIs and Microservices.


•    Working knowledge of Redis for caching and session management.


•    Experience with PostgreSQL, including schema design, query optimization, and performance


•    tuning.


•    Solid understanding of object-oriented design principles, design patterns, and best practices.


•    Familiarity with Git, CI/CD pipelines, and containerization (Docker/Kubernetes).

Optional but Desirable


•    Exposure to AI/ML integration in enterprise applications.


•    Experience with cloud platforms like AWS, GCP, or Azure.


•    Familiarity with event-driven architectures (Kafka, RabbitMQ).

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