Staff Software Engineer, Payments Technology

About the role

CommBank is looking for a Staff Software Engineer in its Payments Technology team, based in the Sydney CBD area. You will lead the design and delivery of scalable, high-performance payment solutions on modern cloud-native platforms, focusing on mandate management and scheduled payments within the PayTo product area. The role combines deep software engineering expertise with hands-on technical leadership, influencing architecture, engineering practices and technical capability across teams.

Key responsibilities

• Provide technical leadership and engineering direction across complex software initiatives.
• Lead system design and make pragmatic architectural decisions for secure, scalable, high-performance distributed applications.
• Design and evolve APIs and microservices using Java, Spring Boot, Node.js and TypeScript.
• Build cloud-native solutions with AWS, Kubernetes, containerisation and Infrastructure as Code.
• Apply event-driven architecture and messaging technologies such as Kafka to solve integration and distributed-system challenges.
• Champion modern engineering practices across CI/CD, DevSecOps, observability, resilience and production lifecycle ownership.
• Work with engineers, Staff Engineers and Principal Engineers to set technical direction, and coach and mentor engineers while influencing engineering standards.
• Contribute to the evolution of PayTo and mandate-management capabilities for scheduled payments.

Required profile

• Experienced software engineer and technical leader with strong architectural judgement, comfortable leading through influence rather than formal people management.
• Ideally, experience providing technical leadership across multiple engineering teams or squads.
• Demonstrated ability to coach and mentor engineers and influence technical standards beyond your immediate team.

Required skills

• Java and Spring Boot and/or Node.js and TypeScript.
• Hands-on experience designing APIs, microservices and distributed applications.
• AWS, Kubernetes, containerisation and Infrastructure as Code.
• Event-driven architectures, ideally with Kafka or similar messaging platforms.
• CI/CD and DevSecOps, including observability and resilience.
• System design and architectural decision-making.
• AI-assisted engineering tools or practices are valued.