Staff Software Engineer - Experiments Platform (AU remote)

Technical leadership: You've taken ambiguous engineering problems, formed a technical direction and helped other engineers move towards an outcome.

Driving adoption: You've built internal platforms or capabilities and understand that the technology only succeeds when other teams trust and use it.

Technical knowledge:

Backend and distributed systems: Strong software engineering fundamentals, with experience designing reliable backend systems and reasoning about scalability, availability, consistency and failure modes.

Data systems: Enough familiarity with data engineering, analytics engineering or large-scale data processing to understand how experimentation data is generated, moved and consumed.

Experimentation concepts: Familiarity with experiment assignment, targeting, variants, feature flags, metrics, guardrails and progressive rollout.

Language depth: Java is our primary language and would be useful, but it isn't a hard requirement. At Staff level, we're more interested in strong engineering fundamentals and your ability to transfer them between languages.

Nice to haves:

You've built this before: Direct experience designing or building experimentation, A/B testing, feature-management or rollout infrastructure — either inside a large technology company or for a platform vendor.

Data crossover: A background spanning software engineering and data science, data engineering or analytics engineering.

Feature flags: Experience building feature flagging, user targeting, progressive rollout or automated guardrail systems.

Statistical intuition: You don't need to be a data scientist, but being comfortable enough with experimentation and statistics to work closely with one will be valuable.

About the Group & Team:

This role sits within Rollout Insights, the subgroup responsible for experimentation at Canva.

The team builds shared experimentation capabilities used across the company.

Engineers use the platform to configure and launch experiments. Data scientists use the resulting data to understand impact. Product teams use those insights to decide what should roll out, change or stop.

The team already brings together software engineering and senior data science expertise, which matters because the hardest problems sit across both disciplines.

You'll also collaborate broadly across Canva's engineering and data science organisations, including with senior technical leaders who depend on the platform.

Experimentation is now a major company priority, so demand for the team's capabilities is growing quickly. There's already a platform to build from, with plenty of important technical work still ahead.

What's in it for you?

Achieving our crazy big goals motivates us to work hard - and we do - but you'll experience lots of moments of magic, connectivity and fun woven throughout life at Canva, too. We also offer a stack of benefits to set you up for every success in and outside of work.

Here's a taste of what's on offer:

Equity packages - we want our success to be yours too

Inclusive parental leave policy that supports all parents & carers

An annual Vibe & Thrive allowance to support your wellbeing, social connection, office setup & more

Flexible leave options that empower you to be a force for good, take time to recharge and supports you personally

Check out lifeatcanva.com for more info.

Other stuff to know

We see AI as a powerful amplifier of creativity and technology at Canva. We're evolving how we assess AI skills in our Technology hiring experience — you'll tackle interactive, real-time challenges that reflect the kind of work we do. In some interviews, you may also be asked to solve a problem using an AI tool to show how you approach challenges with tech by your side.

We make hiring decisions based on your experience, skills and passion, as well as how you can enhance Canva and our culture.