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Описание вакансии
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TL;DR
Staff Software Engineer - Experiments Platform (AU remote) (Backend experimentation platform): Building and evolving backend systems that help engineering teams configure experiments, target users, expose variants, and measure outcomes with an accent on distributed systems, data processing, and experimentation safety. Focus on designing scalable platform capabilities, surfacing signals faster, automating analysis with AI, and driving adoption across engineering and product teams.
Location: Remote within Australia; flexible work from home, Canva workspaces, or a mix of both.
Company
Canva develops a collaborative design platform and is expanding experimentation capabilities across its product and engineering organization.
What you will do
- Provide senior technical leadership for the backend systems supporting Canva's experimentation program.
- Evolve platforms for configuring experiments, targeting users, exposing variants, and measuring outcomes.
- Improve experimentation safety by surfacing signals quickly and alerting teams when guardrails are affected.
- Take ownership of significant technical problems and shape the platform's technical direction with senior leaders.
- Collaborate with software engineers, data scientists, product teams, and other technical leaders to drive platform adoption.
- Explore AI-assisted automation of experimentation analysis to help teams learn and iterate faster.
Requirements
- Experience building backend systems or platforms used by other engineers.
- Experience with experimentation, A/B testing, feature management, or progressive rollout systems in a large engineering environment.
- Ability to form technical direction for ambiguous engineering problems and help other engineers deliver outcomes.
- Strong fundamentals in backend and distributed systems, including scalability, availability, consistency, and failure modes.
- Familiarity with data engineering, analytics engineering, or large-scale data processing.
- Understanding of experiment assignment, targeting, variants, feature flags, metrics, guardrails, and progressive rollout.
Nice to have
- Experience designing or building experimentation, A/B testing, feature-management, or rollout infrastructure.
- Background spanning software engineering and data science, data engineering, or analytics engineering.
- Experience with feature flagging, user targeting, progressive rollout, or automated guardrail systems.
- Comfort working with experimentation and statistics alongside data scientists.
- Java experience; Java is the primary language but is not required.
Culture & Benefits
- Permanent, full-time employment with flexible remote-friendly work within Australia.
- Equity packages.
- Inclusive parental leave for all parents and carers.
- Annual Vibe & Thrive allowance for wellbeing, social connection, and office setup.
- Flexible leave options.
- Virtual interviews with reasonable adjustments available during the process.
Hiring process
- Interviews are conducted virtually.
- The process may include interactive, real-time AI-related challenges and problem-solving with an AI tool.
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