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bigquery sql python kubernetes fastapi📋 Description
- Design, implement, and scale Braze's self-learning AI platform.
- Build production AI pipelines, not notebooks.
- Apply Python and its ecosystem to clean, extensible code; coach others.
- Translate customer use cases into generic platform components.
- Collaborate with product strategy and roadmap teams.
- Support Braze deployments to ensure customer success.
🎯 Requirements
- 2+ years Python in a product setting; 1+ year ML/data ecosystem.
- Production ML experience: putting models into production.
- Experience with at least one major cloud platform (GCP/AWS/Azure).
- Proficiency with SQL and BigQuery; familiarity with PySpark/Polars/Ibis.
- Strong software engineering practices: tests, CI/CD, code reviews.
- Excellent communication and collaboration; client-facing.
🎁 Benefits
- Competitive compensation with equity.
- Retirement and Employee Stock Purchase Plans.
- Flexible paid time off.
- Medical, dental, vision, life, and disability coverage.
- Fertility benefits and equal paid parental leave.
- Professional development with yearly learning stipend.
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