Staff Software Engineer (Node.js & TypeScript) - Payments

About the role

CommBank is hiring multiple Staff Software Engineers for its Payments Data Services team, which builds data products, APIs and platforms that power payment experiences across the bank. The role sits in the Payments technology domain, where platforms move billions of dollars securely each day. It is based in Sydney or Melbourne and involves technical leadership, mentoring engineers and building resilient, scalable platforms.

Key responsibilities

• Provide technical leadership across squads, set engineering direction and raise technical standards.
• Design, build and evolve secure, scalable and resilient software platforms.
• Lead architecture and design decisions for complex distributed systems.
• Drive modernisation using cloud-native and event-driven architectures.
• Champion software quality, testing, observability, security and operational excellence.
• Foster a DevSecOps culture, owning solutions end-to-end from design and development through deployment and production operations.
• Mentor engineers and partner with Product, Architecture, Security and Operations.
• Drive adoption of AI-enabled engineering practices and reusable platform capabilities.

Required profile

• Experienced software engineer who enjoys solving difficult technical problems and influencing engineering beyond their team.
• Ideally has led technical direction across multiple teams, coached engineers and driven engineering standards.
• Experience in high-availability, mission-critical platforms, regulated or security-sensitive environments, legacy modernisation or enterprise-scale software is helpful.
• Engineers from payments or financial services are welcome, as are those from other large-scale technology environments.

Required skills

• Backend: Node.js and TypeScript, APIs, microservices and distributed applications.
• Cloud and platform: AWS (EKS, ECS, Lambda, Aurora PostgreSQL, S3, CloudWatch), Kubernetes, Terraform or CloudFormation, CI/CD.
• Architecture: event-driven architectures, Kafka or similar, microservices, API-first design, scalability and performance optimisation.