Join our innovative Engineering as a Service team as a Lead Senior Associate Fullstack Java Engineer. You will be instrumental in designing, developing, and maintaining robust frontend and backend application components using Java and related technologies.

This role offers the opportunity to collaborate with dynamic, cross-functional teams to deliver scalable, high-performing software solutions tailored to business needs. We are looking for individuals passionate about full-stack development with a solid foundation in Java and modern frontend frameworks.

Spearhead the design, development, and ongoing maintenance of full-stack applications, encompassing both frontend and backend elements with Java and other key technologies. Partner closely with product managers, designers, and fellow developers to craft intuitive and seamless user experiences.

Implement and uphold scalable, reliable, and efficient microservices architectures. Drive application performance optimization and ensure scalability to accommodate growing user bases. Produce clean, maintainable, and testable code, adhering to software development best practices. Engage in code reviews to uphold quality standards and foster knowledge sharing. Proactively troubleshoot and resolve issues to maintain application stability and reliability. Continuously explore and integrate the latest industry trends and technologies to enhance our systems.

Demonstrated expertise in Microservices/API development using Java/Spring Boot. Proven hands-on experience with Node, NPM, and the React framework, ensuring secure front-end code production. Ability to effectively implement user interfaces against REST APIs.

Experience developing cloud-native applications within AWS/Azure. Track record in developing maintainable, extensible, and testable distributed systems. Skilled in designing low-latency applications for optimal scalability, reliability, and high throughput. Mastery of open-source technologies like Java, Spring Boot, and Kafka, along with containerization.

Proficiency in the agile software development lifecycle and DevOps principles. A strong understanding of modern and functional programming styles. Familiarity with source control management best practices. Ability to leverage and adopt AI-assisted development tools and practices to boost productivity and code quality.