Graduate Engineer in Melbourne, Victoria at Plexus Gateway Pty Ltd
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Job Description
About Plexus
Legal protects 90% of enterprise value. In most organisations, it’s still slow, expensive, and stretched impossibly thin — one lawyer for every 500 employees. Nine out of ten legal tasks go unsupported.
Plexus is the Legal Operating System for the modern enterprise. We help in-house legal teams automate and scale legal work across the business — faster, with less cost, and less risk.
We’re trusted by Coca-Cola, Nike, L’Oréal, PepsiCo, Woolworths, and Asahi. Our clients report 65% productivity gains.
We’re not a law firm. We’re not a traditional software company. We’re building something new — and we’re not done yet.
Most graduate programmes ease you in gently. This isn't one of them.
What you'll actually do:
You'll join our engineering team and work at the boundary between product and customer. Real problems, real code, real impact — from week one.
That means diagnosing technical issues in customer workflows, building lightweight tools and fixes that solve problems the product roadmap hasn't caught up to yet, and becoming the person Engineering turns to when they need to understand how customers actually use the platform.
This is an engineering role with a customer mission. Not support. Not shadowing. Building.
AI isn't a buzzword here — it's how we work.
94% of Plexus uses AI daily. Every engineer ships with AI. You'll be expected to use AI tools for coding, debugging, research, and documentation from day one — not because we told you to, but because you already do.
If you're still writing everything from scratch and haven't figured out how AI changes the game, this probably isn't the right fit.
What we're looking for:
- We don't care about your GPA. We care about what you've built.
- Side projects, hackathons, open source, self-taught builds — anything that shows you code because you want to, not because a curriculum told you to.
- We want someone who learns fast, ships fast, and treats ambiguity as an invitation, not a blocker.
You should be:
- A fresh graduate (or final year) in Computer Science, Software Engineering, or similar
- Already using AI tools daily — self-initiated, not university-directed
- Able to write clean code in at least one language and debug systematically
- Genuinely hungry to learn — not looking for a gentle ramp
- Comfortable talking to humans, not just machines
What we're not looking for:
- Someone who needs to be told what to do next
- Someone who treats feedback as criticism
- Someone who's waiting for the perfect brief before they start
- Someone who wants a structured rotation programme with quarterly check-ins and a mentorship buddy
What you get:
- Real engineering work at a company trusted by the world's biggest brands.
- A direct path into product engineering, forward deployment, or technical leadership — earned, not scheduled.
- A team that moves fast, ships often, and builds with AI as default infrastructure.
- The person who builds this with us has a head start no external hire will ever have.