Staff Software Engineer, AWS AI & Cloud-Native Platform

CommBank

City of Melbourne

On-site

AUD 180,000 - 240,000

Full time

9 days ago
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Job summary

CommBank is seeking a Staff Software Engineer to lead the design and operation of secure, cloud-native platforms within the Document Retention and Archiving Crew. You’ll shape the enterprise platform, mentor engineers and advance engineering practices across AWS, Kubernetes, Python and AI-enabled technologies.

You will drive architecture, code, automation and testing, embedding secure-by-design principles and observability while guiding teams through GitOps workflows and scalable deployments.

Qualifications

  • Experience with cloud-native platforms and secure software design.
  • Proficiency in Python, Java or .NET with strong testing practices.
  • Hands-on AWS and Kubernetes experience, preferably Amazon EKS.
  • Practical AI-enabled solutions and ML integration patterns.
  • Experience with CI/CD, GitOps and IaC tooling.

Responsibilities

  • Lead design, development, deployment and operation of secure cloud-native software.
  • Shape architecture across AWS and Kubernetes-based platforms.
  • Develop software, automation and testing.
  • Integrate AI capabilities into the platform responsibly.
  • Embed observability, monitoring and secure-by-design practices.
  • Mentor engineers and influence standards across squads.

Skills

Python
Java
.NET
AWS
Kubernetes
AI
CI/CD
GitHub Actions
GitOps
Argo CD
Helm
CloudFormation
Security

Tools

Amazon EKS
GitHub Actions
Argo CD
Helm
CloudFormation

Job description

CommBank is seeking a Staff Software Engineer to lead the design and operation of secure, cloud-native platforms within the Document Retention and Archiving Crew. You’ll shape the enterprise platform, mentor engineers and advance engineering practices across AWS, Kubernetes, Python and AI-enabled technologies.

You will drive architecture, code, automation and testing, embedding secure-by-design principles and observability while guiding teams through GitOps workflows and scalable deployments.

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