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Canva

Staff Software Engineer – Experiments Platform

Canva

Staff Software Engineer building Canva's backend experimentation platform for design products. Leading distributed systems, A/B testing infrastructure and AI-assisted analysis capabilities.

Posted 9/7/2026full-timeRemote • 🇦🇺 AustraliaLeadWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in backend systems and experimentation methodologies, with a strong focus on building reliable platforms that support engineering teams. Proficient in collaborating across teams to drive the adoption of experimentation practices and enhance data-driven decision-making.

Highest-signal resume keywords
Backend Systems DevelopmentExperimentation and A/B TestingTechnical Direction FormationData Engineering FamiliarityScalability and Reliability Design

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Backend SystemsExperimentationA/B TestingFeature ManagementDistributed Systems DesignData ProcessingSoftware Engineering FundamentalsStatistical IntuitionFeature FlaggingUser Targeting
Soft Skills
CollaborationTechnical LeadershipProblem Solving
Industry Keywords
Experimentation PracticesProgressive RolloutAnalytics EngineeringGuardrailsMetrics

Tech Stack

Tools & technologies
Distributed SystemsJava

About the role

Key responsibilities & impact
  • Provide senior technical leadership across backend systems behind Canva's experimentation programme
  • Evolve the platform used to set up experiments, target users, expose variants and measure outcomes
  • Help build safer and more intuitive experimentation capabilities
  • Reinforce good experimentation practices, surface signals faster and alert early when things go wrong
  • Explore automation of experimentation analysis using AI
  • Take ownership of significant technical problems
  • Work with senior leaders across Canva and shape the platform's future direction
  • Collaborate with teams building the platform
  • Support engineers configuring and launching experiments
  • Collaborate with data scientists who analyze experimentation data
  • Collaborate with product teams using insights to decide what should roll out, change or stop
  • Collaborate broadly across Canva engineering and data science organizations

Requirements

What you’ll need
  • Experience building backend systems or platforms that other engineers depend on
  • Experience with experimentation, A/B testing, feature-management or progressive-rollout systems in a large engineering environment
  • Experience taking ambiguous engineering problems, forming technical direction and helping engineers move toward an outcome
  • Experience building internal platforms or capabilities and driving adoption
  • Strong software engineering fundamentals
  • Experience designing reliable backend and distributed systems
  • Understanding of scalability, availability, consistency and failure modes
  • Familiarity with data engineering, analytics engineering or large-scale data processing
  • Familiarity with experiment assignment, targeting, variants, feature flags, metrics, guardrails and progressive rollout
  • Strong engineering fundamentals and ability to transfer them between languages
  • Java is useful but not a hard requirement
  • Nice to have: direct experimentation, A/B testing, feature-management or rollout infrastructure experience
  • Nice to have: background spanning software engineering and data science, data engineering or analytics engineering
  • Nice to have: feature flagging, user targeting, progressive rollout or automated guardrail systems experience
  • Nice to have: statistical intuition and comfort working with experimentation and statistics

Benefits

Comp & perks
  • Equity packages
  • Inclusive parental leave policy that supports all parents & carers
  • Annual Vibe & Thrive allowance supporting wellbeing, social connection, office setup & more
  • Flexible leave options
  • Flexible work arrangements: work from Canva spaces, home, or a mix of both
  • Virtual interviews