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snowflake python kubernetes dbt airflow📋 Description
- Shape systems powering AI agents and data integration
- Build AI Agent Factory and data governance patterns
- Enable safe LLM deployment and analytics automation
- Integrate with semantic layer for consistent business definitions
- Ensure observability, evaluation, and guardrails
- Collaborate with Data Engineering and analytics teams
🎯 Requirements
- 6+ years in data engineering, ML engineering, AI infrastructure, or platform engineering
- Hands-on experience building LLM-powered applications, agents, or tool-use systems in production
- Experience connecting LLMs to structured data safely (APIs, data access, governance)
- Strong software engineering fundamentals, including testing, monitoring, and production reliability
- Experience with Python, Snowflake, dbt, Airflow, Kafka, Kubernetes
- Experience operating production systems, including CI/CD, monitoring, and incident response
🎁 Benefits
- Flexible hours and virtual-first culture with a home office stipend
- Premium Medical, Dental, and Vision Insurance
- Generous paid parental and caregiver leave
- 401(k) savings plan with matching contributions
- Financial advisor and financial wellness support
- Flexible PTO and generous company holidays
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