Java Full Stack Engineer - Spring Boot

About USEReady

USEReady is a dynamic data and analytics firm dedicated to empowering businesses through data-driven insights. We partner with industry leaders like Tableau and Salesforce to deliver innovative solutions that drive growth and success. Our company culture emphasizes customer-centricity, integrity, and a commitment to continuous improvement.

Job Description
 As a Java Full Stack Engineer at USEReady, you will play a pivotal role in developing and maintaining high-performance applications.
 You will collaborate closely with cross-functional teams to design, implement, and optimize software solutions.
 Your expertise in Java, Spring Boot, and related technologies will be instrumental in building scalable and resilient systems.

Responsibilities
 Design, develop, and deploy robust and scalable Java-based applications.
 Build and maintain microservices architecture using Spring Boot.
 Implement RESTful APIs to integrate with front-end and backend systems.
 Develop and consume Kafka-based messaging systems for real-time data processing.
 Utilize Spark for large-scale data processing and analysis.
 Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
 Ensure code quality through unit testing, code reviews, and adherence to best practices.
 Implement continuous integration and continuous delivery (CI/CD) pipelines using Jenkins and GitLab.
 Monitor application performance and identify areas for optimization.

Qualifications

Mandatory Skills :
 Strong proficiency in Java 8+ and Spring Boot framework.
 Expertise in developing RESTful microservices.
 In-depth knowledge of Kafka for real-time data processing.
 Experience with Spark for big data processing.
 Understanding of event-driven architecture and workflow orchestration.
 Proficiency in CI/CD using Jenkins and GitLab.
 Strong foundation in JavaScript, JUnit, and Swagger.
 Familiarity with database technologies like Oracle and PL/SQL.
 Experience with cloud platforms (Docker, Kubernetes) is a plus.

Desirable Skills
 Experience with Snowflake or other cloud data warehouses.
 Knowledge of data visualization tools (Grafana, Splunk).
 Understanding of application performance monitoring tools (AppDynamics).
 Experience with enterprise architecture tools (Enterprise Architect).
 Proficiency in code quality tools (SonarQube)

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