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aws postgresql redis python machine learningπ Description
- Own end-to-end decisions for real-time freight events from ingestion to recommendations.
- Make architecture trade-offs and defend Redis vs Postgres choices.
- Collaborate with Data/Product to integrate model outputs with low latency.
- Instrument systems, identify bottlenecks, and plan for 10Γ growth.
- Own subsystems end-to-end; debug production issues across the stack.
- Mentor peers and shape engineering culture and norms.
π― Requirements
- Bachelor's or Master's in CS, EE, or equivalent.
- 5+ years building production systems; startup experience ideal.
- Early engineering hire at a startup with end-to-end scope.
- First principles thinker; name constraints and trade-offs.
- Uses AI tools (Copilot, Cursor, Claude) and justifies AI-guided paths.
- Tech stack: Python on AWS (FastAPI/Flask), PostgreSQL, Redis, ML integration.
π Benefits
- Globally distributed, remote-first flexibility.
- Tech-first team solving hard problems.
- Accelerated growth; own the web app from day one.
- Impact you can see; direct business impact.
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