Staff Software Engineer (AWS and AI)

About the role

CommBank is looking for a Staff Software Engineer in the Document Retention and Archiving Crew within Operations Technology. The team leads the design and operation of secure, resilient cloud-native platforms after migrating OpenText products from on-premises infrastructure to AWS-hosted, containerised services, and is now focused on operating, strengthening and enhancing the platform, including integrating AI capabilities. The role sits in the COO Transformation Tech group.

Key responsibilities

• 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, and integrate AI-enabled capabilities into the platform, guiding their practical, responsible adoption.
• Embed automated testing, observability, monitoring and secure-by-design engineering practices.
• Improve delivery through infrastructure as code, CI/CD, 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.

Required profile

• Experienced software engineer and technical leader who enjoys working across software, platforms and operations.
• Able to 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; candidates with relevant exposure and a strong ability to build capability will also be considered.
• Ability to provide technical leadership, mentor engineers and influence architecture and engineering standards across teams.

Required skills

• Strong software engineering experience in Python, Java or .NET, including design, testing and secure coding.
• 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, RAG or agentic AI.
• CI/CD, GitHub Actions, GitOps, Argo CD, Helm and infrastructure as code such as CloudFormation.
• Knowledge of observability, reliability engineering, security, IAM, encryption and operational support.
• Relational or NoSQL databases such as PostgreSQL, Oracle or MongoDB are well regarded.