Join our vibrant engineering team as a Full Stack Java Engineer. This role is instrumental in architecting, building, and maintaining both the user-facing and server-side elements of our applications. You will be a key collaborator, working alongside diverse teams to craft robust, scalable, and high-performance software solutions tailored to our business objectives. We are looking for a candidate with a solid foundation in Java development, practical experience with modern frontend frameworks, and a genuine enthusiasm for end-to-end application development.

Drive the design, development, and upkeep of full-stack applications, encompassing both frontend and backend functionalities using Java and related technologies. Partner with product managers, designers, and fellow developers to create fluid and user-friendly experiences. Implement and manage scalable, reliable, and efficient microservices architectures. Enhance application performance and ensure scalability to accommodate growth in user traffic. Produce clean, maintainable, and testable code, adhering to industry-leading software development practices. Actively participate in code reviews to uphold quality standards and foster knowledge sharing within the team. Address and resolve issues promptly, guaranteeing the stability and reliability of our applications. Continuously explore and integrate the latest industry trends and technologies to enhance our systems.

Demonstrated experience in Microservices and API development utilizing Java and Spring Boot. Practical expertise with Node, NPM, and the React framework for developing secure front-end code. Capability to integrate user interfaces seamlessly with REST APIs. Hands-on experience developing cloud-native applications on platforms like AWS or Azure. Proven track record in building maintainable, extensible, and testable distributed systems. Skilled in designing low-latency applications focused on scalability, reliability, and high throughput. Proficient with open-source technologies including Java, Spring Boot, and Kafka, alongside containerization tools. Familiarity with the agile software development lifecycle and DevOps principles. Understanding of modern and functional programming paradigms. Knowledge of best practices in source control management. Embrace and utilize AI-assisted development tools and methodologies to boost productivity and code quality.