Staff Software Engineer - Payments Technology

Staff Software Engineer, Payments Technology (Faster Payments)

• Lead the design and delivery of scalable, high-performance real-time payment solutions across modern cloud-native platforms.
• Shape a critical area of Australia’s payments landscape while mentoring engineers and influencing technical direction across teams.
• Work across TypeScript, Java, AWS and distributed systems, applying AI-assisted engineering practices while setting strong engineering standards.

Do work that matters

Join Payments Technology and help build and evolve the technology that supports important real-time payment experiences for our customers.

As a Staff Engineer, you’ll join our domestic payments engineering environment, working within the Faster Payments product area. You’ll focus on the services that initiate and process real-time payments, helping evolve a modern, API-led platform that will support a growing range of payment types and channels.

You’ll combine deep software engineering expertise with hands-on technical leadership, helping teams solve complex problems and deliver secure, resilient and scalable solutions. You’ll have the opportunity to influence architecture, engineering practices and technical capability across multiple teams.

See yourself in our team

Our domestic payments area brings together multiple engineering squads working across Australia’s payments ecosystem. In this role you’ll provide technical leadership within Faster Payments, with the opportunity to broaden your influence across other squads as priorities evolve.

You’ll:

• Provide technical leadership and engineering direction across complex software initiatives.
• Lead system design and make pragmatic architectural decisions for secure, scalable and high-performance distributed applications.
• Design and evolve APIs and microservices using Node.js and TypeScript, and Java and Spring Boot where it fits.
• Build cloud-native solutions using AWS, containerisation and Infrastructure as Code.
• Apply event-driven architecture and messaging technologies such as Kafka to solve complex integration and distributed-system challenges, including idempotency, retry and durable-workflow design.
• Champion modern engineering practices across CI/CD, DevSecOps, automated testing, observability, resilience and production lifecycle ownership.
• Champion the responsible use of AI-assisted engineering across the team, helping engineers adopt these tools safely and effectively to improve quality, speed and consistency of delivery.
• Work closely with engineers, Staff Engineers, Principal Engineers and other technology partners to establish clear technical direction.
• Coach and mentor engineers while influencing engineering standards and practices across teams.
• Contribute to the evolution of our Faster Payments platform and the capabilities that support new payment types and customer experiences.

We’re interested in hearing from people who

You’re an experienced software engineer and technical leader who combines deep technical capability with strong architectural judgement. You’re comfortable leading through influence and expertise rather than formal people management, and you can bring engineers together to solve complex technical challenges.

Ideally, you’ll bring:

• Strong modern software engineering experience using Node.js and TypeScript, and/or Java and Spring Boot.
• Hands-on experience designing APIs, microservices and distributed applications.
• Strong cloud-native engineering experience with AWS, with exposure to containerisation (for example ECS or Kubernetes) and Infrastructure as Code.
• Experience designing or working with event-driven architectures, ideally using Kafka or similar messaging platforms.
• Strong knowledge of CI/CD and DevSecOps, including observability, resilience and owning software throughout its production lifecycle.
• Strong system-design skills and experience making architectural decisions across complex technology environments.
• 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.
• Hands-on experience using AI-assisted engineering tools and practices (for example AI coding assistants, AI-supported code review and test generation) in day-to-day delivery, with sound judgement on where they add value and where human review is essential.

Nice to have: payments experience, real-time or high-throughput transaction processing, and durable workflow tooling.

If this sounds like you, apply today!

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