I’m building a full-scale Agriculture SaaS platform and need a developer who can take ownership of the cloud architecture and core feature set across both AWS and Google Cloud. Scope of work The product spans three pillars—Data Analytics, Farm Management, and Supply Chain—and I want a cohesive, micro-service-friendly backend that can be deployed seamlessly to either cloud. Within the supply-chain pillar we must cover inventory management, order tracking, and supplier management from day one. Analytics expectations The data layer has to support rich visualisations, predictive analytics, and real-time monitoring. I also plan to layer in broader data-science workflows and eventually blockchain-based traceability, so please factor that into design decisions. Key milestones (deliverables) • Cloud architecture diagrams and IaC scripts (Terraform or CDK) for both AWS and GCP • MVP endpoints for inventory, orders, and suppliers, wired to a relational database and message queue • Analytics pipeline that ingests field data, processes it for real-time dashboards, and exposes a predictive model endpoint • Clean API documentation and a short hand-over walkthrough Tech you should be fluent with AWS (Lambda, Fargate/ECS, Dynamo or RDS, CloudWatch) Google Cloud (Cloud Functions or Cloud Run, Pub/Sub, BigQuery) Containerisation with Docker & Kubernetes, CI/CD, and a modern data stack (Spark/Flink, Kafka, or similar). Solidity or other blockchain skills would be a plus. I’ll review code quality, deployment repeatability, and performance benchmarks before signing off each milestone. If you’re confident moving smoothly between AWS and GCP and excited about applying data science to agriculture, I’d love to see your approach.