Python Backend Engineer – AI Platform Enablement

Posted 2hrs ago

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Job Description

Python Backend Engineer developing data pipelines for AI research at Canva, focusing on backend services and data accessibility for researchers.

Responsibilities:

  • Design, build, and maintain data pipelines that power AI research and experimentation workflows
  • Develop backend services and APIs that give researchers clean, reliable access to data at scale
  • Work directly with researchers and AI builders to understand their data needs and translate them into robust engineering solutions
  • Improve data infrastructure reliability, observability, and performance
  • Debug and resolve data quality issues, identifying root causes and sharing learnings broadly
  • Contribute to internal tooling and paved roads that make it easier for the team to work with data consistently

Requirements:

  • Strong Python expertise with experience building production-grade data pipelines or backend services
  • Experience with data engineering patterns, including batch processing, streaming, data quality, and pipeline orchestration
  • Experience working with Kubernetes or similar container orchestration environments
  • Solid software engineering fundamentals, including clean APIs, testing, and observability
  • Experience supporting or working closely with research, data science, or ML teams
  • Strong debugging and problem-solving skills
  • Ability to manage multiple workstreams and communicate clearly with both technical and non-technical stakeholders
  • Collaborative mindset with a genuine focus on enabling others to move faster
  • Familiarity with PyTorch or other ML frameworks is nice to have

Benefits:

  • 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