About The Role

Rabobank’s Technology team sits at the heart of our Australian & New Zealand business, delivering the secure, reliable & scalable technology that keeps our people & customers connected.

We are hiring for a Lead Software Engineer to join our Online Banking Squad.

This role will give you the opportunity to stay close to the code while having a bigger influence on engineering direction. You will work across React, Java Spring Boot, REST APIs & microservices, helping shape end-to-end solutions for our Australian & New Zealand digital banking platforms

Top Role Accountabilities & Responsibilities:

• Lead technical delivery across our online banking applications, APIs & microservices
• Design, development, testing, debugging & remediation
• Translate architecture & business requirements into practical, maintainable engineering solutions
• Provide technical direction, conduct design & code reviews, & coach engineers across the squad
• Champion clean code, automated testing, CI/CD & secure engineering practices
• Work with Azure DevOps pipelines & support deployment & release readiness
• Design for performance, scalability, security, resilience, accessibility & observability
• Identify technical debt, dependencies & opportunities to improve platform reliability
• Support production services, including incident investigation, root cause analysis & resolution of priority issues
• Participate in an on-call arrangement when required for priority incidents
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To be successful, you will have:

You’re an experienced engineer who can move comfortably between writing code, solving complex technical problems & bringing other engineers along with you.

• 10+ years’ software engineering experience, with 2+ years at Senior/Lead level
• Strong commercial experience with React & Java Spring Boot
• Experience with REST APIs, microservices, Kafka & event-driven architecture
• Strong CI/CD, Azure DevOps & cloud deployment experience
• Knowledge of secure coding, SAST, vulnerability & dependency management
• Experience supporting business-critical applications in production
• Experience using modern AI coding tools, such as GitHub Copilot or equivalent, for development, testing, debugging, refactoring & documentation
• Understanding of modern AI engineering concepts, including LLMs, prompt engineering, RAG, agentic workflows, evaluation & responsible AI
• The ability to coach engineers & lead technical delivery without formal people-management responsibility