Key skills
AWSDistributed SystemsGraphQLIoTPythonAILLMLambdaPerformance Optimization
About this role
Role Overview
- Design and scale the core platform that captures grower expertise and scales it across every machine, every greenhouse, every decision
- Build Data infrastructure, ingest, transform, and serve greenhouse data at scale (climate, sensors, crop registrations)
- Design and build the backend that powers our conversational intelligence platform
- Own the design of scalable, reliable systems that process millions of data points daily
- Deploy and operate services on AWS (Lambda, containers, managed services)
- Build observability, monitoring, and reliability into everything we ship
Requirements
- Strong backend development experience (Python, REST/GraphQL APIs, relational databases)
- Experience designing and scaling distributed systems
- Solid understanding of data modeling, performance optimization, and system reliability
- Comfortable with AWS, containerization, and infrastructure-as-code
- Startup mindset: you move fast, take ownership, and thrive building from zero
- Nice to Have
- Experience with real-time data streaming or time-series data
- Background in agriculture, IoT, or industrial systems
- Experience with LLM integrations or AI-powered applications
Tech Stack
- AWS
- Distributed Systems
- GraphQL
- IoT
- Python
Benefits
- High ownership, you'll own systems end-to-end, not just tickets
- Ground-floor impact, design core AI infrastructure from scratch
- Real-world purpose, your work helps feed the world more sustainably
- Competitive compensation, salary, equity, and growth opportunities
- Learning budget, resources to grow your skills
- Modern equipment, the tools you need to do your best work