Java Full Stack developer

Our client is seeking a Senior Java Software Engineer to join its Consumer & Community Banking Technology team. The ideal candidate will have extensive experience designing and building secure, scalable, cloud-native applications using Java and modern engineering practices. This role requires strong expertise in Java, Spring Boot, Kubernetes, CI/CD, AI-assisted software development, and enterprise application architecture., * Design, develop, and maintain enterprise-scale Java applications.

• Build secure, scalable, and high-performance microservices using Spring Boot.
• Provide technical leadership and mentor junior developers.
• Participate in architecture discussions and technical design reviews.
• Perform code reviews and ensure adherence to coding standards and best practices.
• Develop automated testing strategies and CI/CD pipelines.
• Deploy and manage containerized applications using Kubernetes.
• Promote AI-assisted engineering practices while ensuring secure, validated, and high-quality code.
• Collaborate with architects, business analysts, DevOps engineers, QA teams, and product owners throughout the SDLC.
• Optimize application performance, reliability, and operational stability.
• Troubleshoot production issues and implement long-term solutions.
• Contribute to reusable frameworks, engineering standards, and continuous improvement initiatives.

• 10+ years of hands-on Java development experience
• Experience working in Angular/React.
• Strong expertise in Java 11/17/21, Spring Boot, Spring MVC, Spring Security, and Microservices.
• Experience designing scalable, highly available, and secure enterprise applications.
• Strong knowledge of REST APIs, distributed systems, and event-driven architecture.
• Hands-on experience with Kubernetes, Docker, and containerized application deployment.
• Strong understanding of CI/CD pipelines, DevOps, Git, Jenkins, Maven, and automated testing.
• Experience working in Agile/Scrum environments.
• Strong understanding of software architecture, design patterns, and SDLC best practices.
• Experience implementing secure coding practices and application resiliency.
• Experience using AI-assisted development tools such as GitHub Copilot or similar tools to improve development productivity.
• Strong knowledge of cloud technologies (AWS preferred).
• Excellent debugging, troubleshooting, and performance optimization skills.
• Strong communication and technical leadership skills., * Experience with GitHub Copilot or other AI-assisted software development tools.
• AWS Solution Architect or Developer Certification.
• Experience with Spring Cloud, Kafka, or messaging technologies.
• Knowledge of observability tools such as Splunk, Dynatrace, or Datadog.
• Experience in Banking or Financial Services.
• Familiarity with OpenShift or cloud-native application platforms.