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redshift aws etl apis llms📋 Description
- Own end-to-end delivery of core data platform components.
- Write production code as a hands-on contributor.
- Own architecture through deployment with reliability and performance.
- Define end-to-end AI-native data warehouse architecture with seed team.
- Build AI evaluation infrastructure and human-in-the-loop workflows.
- Embrace AI-assisted development and establish SDLC practices.
🎯 Requirements
- 7+ years software engineering with staff-level scope and impact.
- Shipped production systems; discuss decisions and code you wrote.
- Hands-on data pipeline/warehouse: schemas, ETL/ELT, API distribution.
- Production experience with LLMs: prompts, orchestration, evaluation.
- Fluency with AI-assisted and agentic development; daily use and strong opinions.
- AWS data infrastructure experience; Redshift a plus.
- Strong written communication.
🎁 Benefits
- Health, dental, and vision care for you and family
- Life insurance
- Mental wellness coverage
- Fertility and growing family support
- Flex Time Off and holidays
- Retirement saving plans and annual professional development stipend
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