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Drive Barclays' digital transformation by building impactful, end-to-end solutions as a Full Stack Java Development Engineer, leveraging ReactJS, J2EE, Spring Boot, event-driven architectures, and advanced design patterns to deliver scalable, high-performance platforms. You'll play a key role in shaping robust, secure systems while collaborating across teams to accelerate innovation and business outcomes. This is a unique opportunity to work deep in code, influence architecture, and grow your knowledge in modern engineering practices within a culture that advocates responsibility, learning, and technical excellence.
Job Responsibility
Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance
Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives
Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing
Stay informed of industry technology trends and innovations and actively contribute to the organization's technology communities to foster a culture of technical excellence and growth
Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions
Implementation of effective unit testing practices to ensure proper code design, readability, and reliability
Requirements
Full stack development using Java (J2EE), Spring Boot, and ReactJS, delivering scalable, high-performance enterprise applications
Designing event-driven architectures and applying multi-layered design patterns to solve sophisticated, real-world engineering situations
CI/CD pipelines, DevOps practices, and modern engineering tools (GitLab, SonarQube) to enable efficient and high-quality delivery
Coding practices, unit testing, and code quality standards, ensuring reliable, maintainable, and resilient systems
Problem-solving mindset with exposure to performance optimization, observability, and resiliency patterns in distributed system
Nice to have
Experience with cloud platforms (AWS/Azure), containerization (Docker/Kubernetes), and building cloud-native, scalable microservices
Leveraging AI/ML-driven capabilities or integrating AI solutions (APIs, copilots, intelligent automation) to enhance product functionality and developer productivity
Collaborative team mindset, end-to-end process responsibility, excellent stakeholder communication skills, adaptability, and ability to thrive in a fast-paced, high-performing engineering environment