Senior Software Engineer - AI Powered Engineering
Senior Software Engineer - AI Powered Engineering
You are passionate about AI and working to deliver better outcomes for CBA's people and customers
We are leading the world in AI ambition within Australia's largest bank and fintech
Together, we will engineer the future of banking with innovative Gen AI solutions
Your business
The CIO for Technology team ensures that CommBank has a world-class engineering capability and is at the forefront of technology, using innovative and emerging technology to help our customers and support our Group Strategy.
We work hard to ensure that best practice, whether inside CommBank or outside in the broader technology ecosystem, is discovered, sheltered, nurtured, and spread to wherever else it can drive the most benefit for the Group and our customers.
We are actively involved in the technology community, contributing to education programs, innovation, research, and partnerships that will set Australia up for success as the economy transitions to a more digital future.
Do work that matters
Join our AI Powered Engineering function within the CIO for Technology portfolio.
We are a very new, high-energy team with a startup like dynamic inside the Bank, partnering with our global engineering community to embed AI-assisted tools and capabilities that measurably improve developer experience, delivery velocity, and software quality.
About the team
We operate at the intersection of platform engineering, developer productivity, and applied AI.
As a newly formed squad, we move fast, experiment responsibly, and ship pragmatic, reusable capabilities that fit enterprise standards.
You'll help shape our technical direction, culture, and ways of working from the ground up.
What you'll do
Collaborate on complex technical problems from discovery through implementation, delivering high quality, maintainable solutions.
Break down requirements into actionable engineering tasks; create clarity for delivery squads and stakeholders.
Run hands-on experiments with emerging AI/ML and GenAI tooling; design evaluation frameworks, measure outcomes, and provide evidence-based recommendations.
Build resilient, reusable components, SDKs, and service integrations that slot into pipelines, IDEs, and developer platforms.
Contribute to architectural discussions; propose improvements and role-model engineering standards and best practices.
Maintain high quality codebases via active code reviews, robust testing, and clear documentation for knowledge sharing.
Work cross-functionally to align roadmaps, manage dependencies, and land changes with minimal disruption.
Mentor junior engineers and uplift AI literacy across squads; contribute to communities of practice.
What you bring
Extensive experience in designing and implementing scalable, maintainable, and reliable software systems.
Proficiency in one or more languages such as Python, TypeScript/Node.js, or C#, and experience building microservices on AWS and/or Azure.
Cloud: AWS or Azure or GCP (e.g., Lambda/Functions, Containers/ECS/AKS, S3/Blob, API Gateway, Step Functions/Logic Apps)
Data: SQL, data pipelines, observability/telemetry for engineering productivity and quality metrics
DevSecOps: GitHub/GitLab/Azure DevOps, Actions/Pipelines, Terraform (IaC), SAST/DAST/SCA, secrets management
Strong technical influence: ability to review designs and code, set quality bars, and collaborate with stakeholders to solve business critical problems.
A growth mindset and bias toward iterative experimentation—from idea to prototype to pilot to product—with clear success metrics.
Proficiency in agile delivery (Scrum/Kanban) and tooling such as Jira and Confluence.
Good to have: Exposure to AI tools such as Roo Code, Claude or any other CLIs.
If this sounds like you, apply today
We support our people with the flexibility to balance where work is done with at least half their time each month connecting in office.
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