Senior Software Engineer

RGIT Australia; Sydney; On-site; AUD 140,000 - 190,000; Full time

Job summary

RGIT Australia seeks a mid- to senior-level software engineer to build and ship Next.js and Node.js applications with a focus on AI-driven product development. You will join a small team reporting to the Head of Technology and work closely with product leaders to frame problems, propose scope, and deliver production-grade software using Claude Code and Cursor.

You will design automated CI/CD pipelines, enable safe autonomous agent development, and integrate with enterprise systems.

Qualifications

• Shipped Next.js and TypeScript in production for user-facing apps.
• 5+ years building production software, with AI agent involvement.
• Experience integrating with Salesforce and Snowflake in a shared API layer.

Responsibilities

• Build and ship Next.js and Node.js applications from server components to production.
• Define and scale the end-to-end agentic development lifecycle with automated tests and CI/CD.
• Shape product scope with engineers, and contribute reusable components and patterns.

Skills

Next.js

TypeScript

Node.js

Salesforce

Snowflake

CI/CD

AI agents

Tools

Claude Code

Cursor

PostgreSQL

Job description

Full-time Permanent Mid-level Senior

Posted 24 Sep 2026

Description

Position overview

Matrix is building its own product capability in house to extend our reach beyond the classroom. We are assembling a small team of product builders who ship the software our students, parents and teachers actually use. This high-priority role is a foundational engineering seat in that new team as we grow.

You'll report to our Head of Technology and work closely with our Head of Digital Product and the rest of the Product Building team. You will build and ship Next.js, TypeScript and Node applications with PostgreSQL, integrating Salesforce and Snowflake through a shared business API layer. Claude Code is the primary development tool and we expect real agentic development fluency on day one. You will define and operate a modern, AI-first development lifecycle, architecting fully automated CI/CD pipelines, preview environments, automated validation, and safety guardrails that allow autonomous agents to execute end-to-end development safely and rapidly.

The part that makes this role different from a standard engineering seat is the product side. You will not be handed a finished specification. You will be in the room when the problem is framed, when the storymap is built, and when we decide what to cut. We want an engineer who has views on what should be built, argues about scope, and can tell the difference between a hard problem and an expensive one. You do not need to want to be a product manager. You do need to be comfortable when the conversation is about students and parents rather than code.

Two honest notes. The brief will move, because we are working out this way of building as we go. And prototypes can be rough, but production code is tested and reviewed. Speed comes from the pipeline, not from skipping the standards.

Key responsibilities

1. Build and ship product in a small team

[Initial priority]

• Build and ship Next.js and Node applications, from server components and API routes through to production, using Claude Code and Cursor as your primary tools
• Join the storymap and prototype work at the start of a build rather than picking up a finished spec, and push back on scope when the engineering cost does not match the outcome
• Integrate with Salesforce, Snowflake and and other Enterprise systems through the shared business API layer so logic is written once and used by every app
• Own the review loop on agent output: find the logic errors and security gaps, and decide what to keep, what to rewrite, and what to send back with better context
• Ship at least one customer-facing release in your first quarter that real students, parents or teachers use

2. Define and scale the agentic development lifecycle

[Initial priority]

• Design and optimise an end-to-end agentic workflow where requirements translate into passing tests, generated code, preview environments, and production releases at high velocity
• Build the automated testing, branch management, and CI/CD automation necessary for AI agents to safely generate PRs and deploy without manual friction, retaining human review at strategic gates
• Instrument full observability across agent execution, automated testing, and production deployment to monitor performance, debug failures, and continuously optimize cycle times
• Apply the OWASP Top 10 for LLM Applications to any agent-facing surface, and build the guardrails before a student sees it

3. Shape what gets built and prove it worked

• Instrument the outcome metrics for what you ship, including first week engagement, activities per week and conversion, and build the dashboard the team reviews
• Bring the feasibility view into product decisions early: what is cheap, what is expensive, and what looks small but is a trap
• Contribute reusable components and shared patterns so the other builders do not re-solve the same integration twice

What we're looking for

Experience and qualifications

• You have shipped Next.js and TypeScript in production, client and server rendered, with real users behind it
• 5+ years building production software, including at least 12 months where AI agents did meaningful parts of the work etc...