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Python Backend Engineer - AI Platform Enablement(m/w/x)
Building and maintaining data pipelines for AI research at a design platform company. Strong Python expertise with data engineering patterns and Kubernetes required. Equity packages, inclusive parental leave, and flexible leave options.
Requirements
- Strong Python expertise with production-grade data pipelines or backend services
- Data engineering patterns including batch processing, streaming, data quality, and pipeline orchestration
- 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 technical and non-technical stakeholders
- Collaborative mindset with focus on enabling others
- Familiarity with PyTorch or other ML frameworks
- Strong engineering fundamentals and pragmatic problem-solving approach
Tasks
- Design and build data pipelines
- Maintain data pipelines for AI research
- Develop backend services and APIs
- Ensure reliable data access for researchers
- Collaborate with researchers to understand data needs
- Translate data needs into engineering solutions
- Improve data infrastructure reliability
- Enhance data infrastructure observability
- Optimize data infrastructure performance
- Debug data quality issues
- Identify and share root causes of data issues
- Contribute to internal tooling
- Create paved roads for consistent data work
Work Experience
- approx. 1 - 4 years
Education
- Vocational certificationOR
- Bachelor's degreeOR
- Master's degree
Languages
- English – Native
Tools & Technologies
- Python
- Kubernetes
- PyTorch
Benefits
Competitive Pay
- Equity packages
Generous Parental Leave
- Inclusive parental leave policy
Additional Allowances
- Annual Vibe & Thrive allowance
Workation & Sabbatical
- Flexible leave options
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Python Backend Engineer - AI Platform Enablement(m/w/x)
Building and maintaining data pipelines for AI research at a design platform company. Strong Python expertise with data engineering patterns and Kubernetes required. Equity packages, inclusive parental leave, and flexible leave options.
Requirements
- Strong Python expertise with production-grade data pipelines or backend services
- Data engineering patterns including batch processing, streaming, data quality, and pipeline orchestration
- 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 technical and non-technical stakeholders
- Collaborative mindset with focus on enabling others
- Familiarity with PyTorch or other ML frameworks
- Strong engineering fundamentals and pragmatic problem-solving approach
Tasks
- Design and build data pipelines
- Maintain data pipelines for AI research
- Develop backend services and APIs
- Ensure reliable data access for researchers
- Collaborate with researchers to understand data needs
- Translate data needs into engineering solutions
- Improve data infrastructure reliability
- Enhance data infrastructure observability
- Optimize data infrastructure performance
- Debug data quality issues
- Identify and share root causes of data issues
- Contribute to internal tooling
- Create paved roads for consistent data work
Work Experience
- approx. 1 - 4 years
Education
- Vocational certificationOR
- Bachelor's degreeOR
- Master's degree
Languages
- English – Native
Tools & Technologies
- Python
- Kubernetes
- PyTorch
Benefits
Competitive Pay
- Equity packages
Generous Parental Leave
- Inclusive parental leave policy
Additional Allowances
- Annual Vibe & Thrive allowance
Workation & Sabbatical
- Flexible leave options
About the Company
Canva
Industry
IT
Description
The company is a fast-growing platform that redefines how the world experiences design.
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