Full Stack Software Engineer III - Java

In this role you will own end-to-end delivery of secure, full-stack features for Global Banking Technology, shaping scalable software built on microservices and event-driven architectures. You will drive performance, resiliency, and operational excellence while expanding your technical influence and responsibly exploring AI patterns. You work closely with cross-functional teams to turn requirements into robust designs and production code, contributing to a culture of strong reviews and continuous improvement. This is an opportunity to grow in a high-impact, enterprise-scale environment that values inclusion and technical leadership.

• Lead delivery of complex features and services by shaping options and implementing scalable software
• Own end-to-end engineering outcomes across design, build, test, release, and operate phases with security and reliability
• Set a high bar for code quality through secure production code, reviews, and debugging across services
• Drive operational excellence by automating recurring issues and improving system stability
• Influence architecture and platform alignment across teams with API/event contracts and data flows
• Partner on technical evaluations for architecture, security posture, and platform fit
• Mentor teammates through pairing, design reviews, and knowledge sharing
• Promote inclusive engineering culture and respect in team environment
• Produce architecture and design artifacts for complex applications while ensuring constraints
• Leverage enterprise AI coding assist tools to improve code quality and productivity
• Apply SDLC tooling and automation to enhance value of automation

• Formal training or certification on software engineering concepts
• Proven ownership of design and delivery for production services, including testing strategy and operational support
• Strong proficiency in Java and Spring Boot, Hibernate, JPA, Spring Kafka with performance tuning
• Experience with microservices and Kafka/event-driven architectures, including reliability patterns
• Experience implementing automation and CI/CD pipelines with quality gates
• Full SDLC proficiency with clear documentation and traceability
• Strong understanding of Agile delivery, resiliency, and secure engineering practices
• Hands-on experience with AI-assisted development tools and ability to critically evaluate AI outputs
• Understanding of responsible AI use, data sensitivity, and secure handling of inputs/outputs

• Collaborative and inclusive mindset
• Mentoring and knowledge sharing
• Strong problem-solving and communication
• Java
• Spring Boot
• Hibernate