Level

Commonwealth Bank of Australia

Chief Engineer

AI in this role

Lead engineering excellence and modernization across Risk and Finance Technology while championing DevSecOps and automation.

technical-leadershipdevsecopssoftware-engineeringautomationarchitecture

Specific work or activities you will perform: 

Lead the engineering excellence and modernisation agenda across Risk and Finance Technology. This is a hands-on technical leadership role responsible for partnering with Crew Technology Leads to uplift engineering capability across multiple crews, tackle complex engineering challenges, and establish strong engineering practices. The role will provide technical coaching and leadership to engineers and engineering leaders, champion DevSecOps, automation, reliability and secure engineering practices, and help teams improve the quality, maintainability and resilience of their technology assets. Working across both Risk and Finance domains, the role will drive consistency in engineering standards while supporting crews to deliver secure, scalable and well-engineered technology outcomes.

Business outcome this work enables: 

Accelerates the modernisation of Risk and Finance technology platforms through improved engineering practices, increased automation, and the reduction of technical debt. Uplifts engineering quality, resilience, security and delivery predictability across multiple crews, enabling faster and more reliable delivery of business outcomes. The role also improves the accessibility, usability and trustworthiness of data to support analytics, regulatory, operational and AI-enabled use cases, while strengthening alignment between Risk and Finance technology priorities and the enterprise data strategy.

Role Overview:
We are seeking a Chief Engineer to lead engineering excellence and uplift engineering capability across the Risk and Finance Technology portfolio. This role requires a highly credible, hands-on engineering leader who can work directly with engineers and technical leaders to solve complex problems, improve engineering practices, and drive high-quality technology outcomes.

The role will partner closely with Crew Technology Leads across Risk and Finance Technology, supporting a portfolio of internally built and vendor-supported platforms. Working across multiple crews, the Chief Engineer will provide technical coaching and leadership, champion modern engineering practices, and help teams improve software quality, resilience, automation and operational excellence. The role will also work closely with senior leaders and central teams within the Chief Data Office to ensure engineering and data priorities are aligned and support the organisation's strategic objectives.

As part of this role, you will:

  • Partner with Crew Technology Leads across Risk and Finance Technology to solve complex engineering challenges and accelerate modernisation outcomes.

  • Provide hands-on technical leadership and coaching to engineers, Principal Engineers and engineering leaders across multiple crews.

  • Establish and uplift engineering standards, practices and ways of working to improve quality, maintainability and delivery outcomes.

  • Lead the reduction of technical debt and support the modernisation of legacy platforms and applications.

  • Drive engineering excellence across software development, platform engineering, testing, automation, observability and operational resilience.

  • Champion DevSecOps, CI/CD, infrastructure automation and contemporary engineering practices.

  • Guide teams through complex technical decisions and implementation challenges across applications, integration and data platforms.

  • Drive the responsible adoption of AI-assisted engineering, developer productivity tooling and process automation.

  • Partner with the Chief Data Office and data platform teams to improve data accessibility, usability and readiness for analytics and AI use cases.

  • Build engineering capability through mentoring, coaching and the development of engineering communities of practice.

  • Translate complex technical issues into clear risks, trade-offs, decisions and outcomes for senior stakeholders.

  • Foster a strong engineering culture focused on quality, simplification, ownership, continuous improvement and operational excellence.

We’re interested in hearing from people who have:

  • Experience in large-scale enterprise environments, with a strong track record of building internally developed applications. 

  • Have experience working with modern software delivery practices, secure design, CI/CD and engineering quality at scale. 

  • Are comfortable influencing senior stakeholders, making pragmatic trade-offs and communicating technical decisions clearly. 

  • Are curious about the role AI, GenAI and Agentic platforms can play in improving colleague and customer experiences. 

  • The technical depth to work directly with engineers, challenge designs, break down problems and guide implementation. 

  • Experience operating in complex or regulated environments and balancing modernisation with risk, control and operational requirements. 

Desirable Experience

  • Knowledge of vendor application ecosystems and automation of the engineering components surrounding those platforms. 

  • Experience influencing enterprise data strategy from the perspective of business and technology consumers. 

  • Experience in Risk, Finance, banking or financial services technology. 

  • Experience leading engineering transformation across multiple teams or crews. 

Success in this role looks like:

  • Risk applications are progressively modernised from legacy, on-premises technology to secure, resilient and scalable cloud platforms. 

  • Engineering teams receive clear, practical technical direction and are better able to break down and solve complex problems. 

  • Full stack engineering standards and delivery practices are consistently adopted across the domain. 

  • AI-assisted engineering is applied through repeatable playbooks across the software development lifecycle. 

  • Risk and Finance priorities are clearly represented in the Chief Data Office and enterprise data roadmap. 

  • Data is increasingly accessible and ready to support AI-enabled opportunities. 

  • Senior stakeholders have confidence in the role’s technical judgement, communication and delivery leadership. 

If you're already part of the Commonwealth Bank Group (including Bankwest, x15ventures), you'll need to apply through Sidekick to submit a valid application. We’re keen to support you with the next step in your career.

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Advertising End Date: 08/10/2026

How we rate this

Chief Engineer at Commonwealth Bank of Australia rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

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Skills and AI tools this role asks for

Technical LeadershipDevsecopsSoftware EngineeringAutomationArchitecture

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