Location:
Toronto, Ontario
Join a venture-backed startup solving deep problems in manufacturing and product innovation through advanced 3D geometry and mathematics. If you're excited by intuitive design, performance-minded engineering, and building purposeful software—read on.
Our Client provides a cloud
• based platform that transforms raw 3D CAD or volumetric data into actionable geometric insights. Its core offering—designed to help manufacturers and engineering teams make better decisions through automated, scalable geometry analysis. Their customers are designing everything from high-performance sportswear to lightweight aerospace components—and trust their platform to unlock powerful answers from complex geometry.
We are looking for an exceptional Full Stack Developer with deep expertise in Python and proven experience leading full-stack development in a production environment.
Responsibilities- Lead development of core backend services in Python (Flask) with a focus on clean architecture, performance, and reliability
- Own features end-to-end: API design, data modeling, business logic, frontend integration, and deployment
- Design and optimize Postgre
SQL schemas and queries for production workloads - Build and evolve a modern React frontend alongside backend systems
- Architect and operate cloud-native deployments using Vercel and serverless patterns
- Take ownership of major technical decisions that shape the platform long-term
- • Deep expertise in Python — this is a Python
• first role. You should be highly fluent in modern Python and backend system design - • Strong production experience with Flask (or similar Python frameworks) and Vercel
- • Proven experience designing and operating systems backed by PostgreSQL
- • Solid experience building production UIs with JavaScript and React
- • Demonstrated ownership of a significant full-stack system in production
- • Strong understanding of API design, concurrency, and backend fundamentals
- • Comfortable working across backend, frontend, and infrastructure
- • Startup or early-stage company experience
- • Experience owning systems from early build through scale
- • Background in data-heavy or API-driven products
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