• We're building CBA's next-gen digital wealth platform at scale.

• You have deep .NET full stack expertise and technical leadership.

• Together we redefine wealth experiences through innovation. 

Do work that matters:

As a Staff Software Engineer (.NET Full Stack) in the Affluent Growth Crew, you'll help build the technology behind CBA's leading digital wealth experiences for mass affluent and high-net-worth customers. Within the Wealth & Private Chapter, including CBA's Self-Managed Super Fund (SMSF) offerings, you'll design and develop large-scale .NET services, APIs and event-driven systems that power critical customer journeys. With a strong back-end focus, you'll solve complex challenges across distributed systems, cloud-native architectures and high-volume transaction processing, integrating with a broad network of services across the bank.

You'll play a key technical leadership role, partnering with Engineering Managers and Product Owners to shape architecture and engineering direction across the domain. Working on highly scaled platforms where performance, resilience, observability and security are essential, you'll help deliver reliable systems that support significant customer demand every day. From designing robust API ecosystems and optimising service performance to mentoring engineers and leveraging AI-powered development tools, you'll have the opportunity to make a lasting impact on both the technology and the customers who rely on it. 

See yourself in our team: 

The Affluent Growth Crew is building CBA's next generation digital wealth platform for mass affluent and high net worth customers. As part of the Wealth & Private domain, we create innovative experiences across investing, portfolio management and SMSF, helping customers grow, manage and protect their wealth with confidence. From AI-powered insights to seamless digital journeys, we're redefining how Australians engage with their financial future.

This is an opportunity to work on large-scale, cloud-native platforms where engineering excellence directly impacts customer outcomes. You'll collaborate with talented engineers, product leaders and domain experts to solve complex problems, shape technical direction and deliver experiences used by thousands of customers every day. If you're excited by innovation, scale and meaningful impact, you'll thrive here.

We’re interested in hearing from people who: 

• Provide hands-on technical leadership, guiding architecture, engineering standards and strategic technology outcomes across complex enterprise systems.

• Have deep expertise designing and delivering end-to-end .NET/C# full stack solutions using ASP.NET Core, React & Next.js.

• Architect scalable, resilient and secure systems using microservices, event-driven architectures and modern cloud-native design patterns.

• Drive end-to-end software delivery across the full SDLC, applying Agile practices, DevSecOps principles and a product-focused engineering mindset.

• Leverage AWS cloud technologies, Infrastructure as Code, containerisation and CI/CD pipelines to build and operate high-performing platforms.

• Champion engineering excellence through automated testing, observability, performance optimisation and continuous improvement practices.

• Utilise AI engineering tools and emerging GenAI capabilities to enhance developer productivity, automation and software delivery outcomes.

• Mentor and coach engineers, fostering technical growth, elevating engineering capability and promoting a culture of learning and innovation.

• Collaborate effectively with business and technology stakeholders to translate complex requirements into scalable, customer-focused solutions.

• Thrive on solving complex technical challenges, driving cross-team alignment and continuously advancing engineering practices within large-scale environments.

Tech skills:

We don't expect you to know everything, but experience in several of the following will set you up for success:

• Back End: .NET, .NET Core, ASP.NET Core, C#, backend services

• Front End: React, Next.js

• API: REST, OAuth, webhooks

• Architecture: Event-Driven, Microservices, Domain-Driven Design

• Cloud: AWS

• Infrastructure as Code: CloudFormation, CDK

• Containers: Docker, Kubernetes

• DevOps: CI/CD, GitHub Actions

• Observability: Prometheus, Grafana, ELK Stack, Datadog

• Testing: TDD, unit, integration, API testing

• Quality Tools: JMeter, Selenium, Postman

• AI/ML & GenAI: LangChain, LangGraph, LlamaIndex, AutoGen, Semantic Kernel

• Agentic AI & GenAI: RAG, model evaluation, agent frameworks

• Data Engineering: AWS EMR, AWS Glue, Apache Flink, Amazon Kinesis, Data Pipelines, Distributed Data Processing – nice to have

• Data Architecture: Data Modelling, Data Governance, Scalable Data Workflows – nice to have.