Backend Engineer – AI-Driven Identity Protection

Commonwealth Bank; Sydney; On-site; AUD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive salary and bonus structure

Professional growth opportunities

Dynamic startup environment

CommBank benefits

Job summary

Commonwealth Bank, via its Truyu venture, is hiring a Software Engineer to build secure, scalable backend services and cloud infrastructure in Azure. You will work across the stack, collaborating with engineers and product teams to deliver a robust digital protection product loved by customers.

The role emphasizes developing AI-enabled engineering workflows, participating in code reviews, and contributing to observability and deployment pipelines in a flexible startup-like setting.

Qualifications

• 3+ years of software development in a startup or fast-paced environment.
• Experience with back-end tech: TypeScript, Node.js, PostgreSQL.
• Experience building and operating cloud-based apps, preferably in Azure.
• Familiarity with front-end tech: React and React Native.
• Delivery-focused, collaborative mindset and adaptability.

Responsibilities

• Design, develop, test and maintain reliable, scalable software (back-end focus).
• Build and evolve Azure cloud infrastructure using Infrastructure as Code.
• Contribute to CI/CD pipelines for apps and cloud infra.
• Enhance production reliability with observability and monitoring.
• Collaborate with product managers and engineers to achieve objectives.
• Participate in code reviews and engineering discussions.
• Follow standards and practices for safe operations.

Skills

TypeScript

Node.js

PostgreSQL

Azure

React

React Native

Tools

Azure Infrastructure as Code

Job description

Commonwealth Bank, via its Truyu venture, is hiring a Software Engineer to build secure, scalable backend services and cloud infrastructure in Azure. You will work across the stack, collaborating with engineers and product teams to deliver a robust digital protection product loved by customers.

The role emphasizes developing AI-enabled engineering workflows, participating in code reviews, and contributing to observability and deployment pipelines in a flexible startup-like setting.