Level

Commonwealth Bank of Australia

Staff Software Engineer (AWS and AI)

AI in this role

Lead the design and operation of cloud-native platforms and integrate AI capabilities into document retention services at CommBank.

awskubernetespythonopentext
ragai-automationcloud-architecturesoftware-engineeringai-integrationinfrastructure-as-codeleadership

Staff Software Engineer (AWS and AI)

  • Lead the design and operation of secure, resilient cloud-native platforms.
  • Shape an evolving enterprise platform while mentoring engineers and improving engineering practices.
  • Work with AWS, Kubernetes, Python and AI technologies as CommBank advances its technology strategy.


Do Work That Matters


As a Staff Software Engineer in the Document Retention and Archiving Crew, you’ll provide hands-on technical leadership across cloud-native platforms and enterprise content services. Following the migration of OpenText products from on-premises infrastructure to AWS-hosted, containerised services, the team is focused on operating, strengthening and progressively enhancing the platform, including integrating AI capabilities.


You will help shape the future of our cloud-first platforms and services, ensuring they meet business needs while aligning with modern engineering principles, secure-by-design practices, and operational excellence standards.


Bring your ambition and we’ll help you grow, belong and shape what’s next through meaningful work, modern technology and collaboration with a community of engineering experts.


See yourself in our team


This role sits within the Document Retention & Archiving Crew in Operations Technology (COO Transformation Tech), where we design and deliver cutting-edge technology solutions that enable secure, scalable, and resilient content platforms for the enterprise.

You will:

  • Lead the design, development, deployment and operation of secure, scalable cloud-native software solutions.
  • Shape architecture and technical direction across AWS and Kubernetes-based platforms.
  • Develop software and automation
  • Integrate AI-enabled capabilities into the platform and guide their practical, responsible adoption.
  • Embed comprehensive automated testing, observability, monitoring and secure-by-design engineering practices.
  • Improve delivery through infrastructure as code, continuous integration and deployment, GitOps and reusable engineering patterns.
  • Strengthen operational resilience, reliability, disaster recovery, performance and cost efficiency.
  • Mentor engineers, share knowledge and influence technical outcomes across squads and the wider crew.

We’re interested in hearing from people who:


You’re an experienced software engineer and technical leader who enjoys working across software, platforms and operations. You can turn complex requirements into practical engineering solutions, influence architectural decisions and support others to grow. Experience applying AI within software or platform engineering is strongly preferred, although candidates with relevant exposure and a strong ability to build capability will also be considered.

You’ll bring:

  • Strong software engineering experience in Python, Java or .NET, including sound design, testing and secure coding practices.
  • Deep hands-on experience designing and operating solutions on AWS and Kubernetes, ideally including Amazon EKS.
  • Practical experience with AI-enabled solutions, intelligent automation, machine learning integration patterns, retrieval-augmented generation or agentic AI.
  • Experience with continuous integration and deployment, GitHub Actions, GitOps, Argo CD, Helm and infrastructure as code such as CloudFormation.
  • Strong knowledge of observability, reliability engineering, security, identity and access management, encryption and operational support.
  • The ability to provide technical leadership, mentor engineers and influence architecture and engineering standards across teams.
  • Experience with relational or NoSQL databases, such as PostgreSQL, Oracle or MongoDB, will be well regarded.

Working with us:


At CommBank, we're committed to creating an accessible, inclusive and respectful workplace. If you require support or adjustments, please let us know. We welcome applications from people of all backgrounds, and we're particularly committed to making a positive difference for Aboriginal and/or Torres Strait Islander Peoples. For support, please contact 1800 989 696.


If this sounds like your next opportunity, apply now.

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.

We're aware of some accessibility issues on this site, particularly for screen reader users. We want to make finding your dream job as easy as possible, so if you require additional support please contact HR Direct on 1800 989 696.

Advertising End Date: 17/10/2026

How we rate this

Staff Software Engineer (AWS and AI) at Commonwealth Bank of Australia rates 60 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  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.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

RAGAI AutomationCloud ArchitectureSoftware EngineeringAI IntegrationInfrastructure As CodeLeadershipAWS

Questions you could be asked

  1. How would you design a retrieval step so the model answers from real data instead of guessing?
  2. Tell me about a workflow you automated with AI tools, end to end.
  3. Tell me about a project where cloud architecture was part of your work. What did you do?
  4. Tell me about a project where software engineering was part of your work. What did you do?
  5. Tell me about a project where ai integration was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: RAG, AI Automation, Cloud Architecture, Software Engineering, and AI Integration. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.

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