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Senior ai-augmented software engineer

Melbourne
at
Software Engineer
Posted: 17 May
Offer description

Leaselab is redefining novated leasing through technology, operational excellence, and customer experience. We build scalable systems that simplify salary packaging and vehicle finance while delivering exceptional outcomes for employers and drivers across Australia.

We operate in a fast-moving environment focused on innovation, automation, and continuous improvement, leveraging modern infrastructure and AI-assisted workflows to accelerate delivery and improve operational efficiency.

The Opportunity

We are seeking a highly capable Senior AI-Augmented Software Engineer to help design, build, and scale the next generation of Leaselab's technology platform.

This role is ideal for an experienced engineer who uses AI as a force multiplier to rapidly build, review, and operationalise software systems without compromising engineering quality.

You will work across software engineering, system architecture, infrastructure, deployment workflows, and AI-assisted development, taking ownership of technical delivery from planning through to production.

This is a high-autonomy role suited to someone who can independently solve complex technical challenges while collaborating closely with business stakeholders to translate requirements into scalable production-ready systems.

Key Responsibilities

Build features and systems using AI‐assisted development workflows including Cursor, copilots, agents, and LLM tooling.

Review, validate, and productionise AI-generated code.

Identify architectural, security, scalability, and logic issues within generated outputs.

Create repeatable AI workflows that improve engineering velocity and consistency.

Maintain high engineering quality while delivering rapidly.

Technical Architecture & Systems Design

Design scalable backend systems and application architecture.

Make informed technical decisions balancing speed, scalability, and maintainability.

Structure systems to support reliable AI-assisted development practices.

Evaluate and improve existing architecture, workflows, and operational processes.

Ensure systems remain maintainable as complexity grows.

Infrastructure & Deployment

Build and manage AWS infrastructure using SST and Infrastructure as Code principles.

Own CI/CD pipelines and deployment workflows across multiple environments.

Improve deployment reliability, rollback safety, and operational visibility.

Implement monitoring, logging, and observability practices.

Support secure, scalable, and resilient production infrastructure.

Product & Technical Scoping

Translate business requirements into detailed technical scopes and implementation plans.

Break down complex initiatives into actionable deliverables.

Identify technical risks, edge cases, and operational considerations early.

Collaborate with stakeholders to shape practical and scalable technical solutions.

Produce clear technical documentation and implementation specifications.

Engineering Quality & Ownership

Review pull requests and AI-generated code with strong attention to detail.

Maintain high standards for code quality, testing, and platform consistency.

Take ownership of features from planning through deployment and operational support.

Improve engineering processes, tooling, and development workflows.

Contribute to a culture of accountability, pragmatism, and continuous improvement.

Skills & Experience

Strong experience with TypeScript.

Experience building and managing AWS cloud infrastructure.

Strong knowledge of SST (Serverless Stack).

Experience with Infrastructure as Code.

Backend and API development experience.

CI/CD pipeline management and deployment workflows.

Git workflows and code review practices.

Automated testing frameworks and methodologies.

Experience using AI-assisted development tooling in production environments.

Experience with Cursor or similar AI-native development environments.

Building agentic workflows or automation systems.

Event-driven and serverless architectures.

Monitoring and observability tooling.

Async processing and distributed systems.

Workflow optimisation and developer tooling.

About You

You are a highly capable engineer who combines strong technical judgement with the ability to move quickly using AI-assisted workflows.

You are comfortable owning technical delivery end-to-end and thrive in environments where autonomy, problem-solving, and continuous improvement are valued.

You will also demonstrate:

Strong systems thinking and architectural capability.

A pragmatic approach to balancing speed with engineering discipline.

The ability to rapidly understand and improve existing systems.

Strong communication skills with the ability to translate business requirements into technical execution.

A proactive mindset focused on scalability, maintainability, and operational leverage.

Why Join Leaselab?

Opportunity to shape and scale modern AI-assisted engineering practices.

High-impact role with significant ownership and autonomy.

Fast-moving technology environment focused on innovation and automation.

Collaborative and pragmatic culture.

Opportunity to work on meaningful systems that directly impact business growth and customer experience.

Apply Now

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