Full Stack Software Engineer - Canada

What You'll Do

• Own and lead product features end-to-end: research, design, implement, test, and ship
• Lead and shape engineering architecture - set standards for code quality, testing, and development practices across the stack
• Mentor and guide other engineers in adopting AI-native workflows, establishing best practices and patterns
• Talk directly to customers and translate vague requirements into polished user experiences
• Design scalable backend systems (Python, FastAPI, PostgreSQL, GCP)
• Build responsive, delightful UIs (React, TypeScript, Tailwind, shadcn/ui)
• Write clean, maintainable, and testable code with minimal oversight
• Drive architectural decisions and engineering processes that maximize AI-assisted development velocity
• Ship fast and learn fast - high urgency environment

You're a Fit If

Engineering Foundations:

• 2–6 years of professional full-stack experience at a product-first company or FAANG-level environment (Senior SDE ownership expected)
• Comfortable building features across the entire stack—from schema design and backend APIs to pixel-perfect, accessible frontend
• Care deeply about product, design, and user experience—not just code
• Have owned something meaningful end-to-end (a product module, infrastructure refactor, major feature launch)
• Can set standards for engineering quality and architectural decisions in an AI-native environment
• Resourceful and thrive in ambiguous environments—you figure things out independently
• Have strong product intuition and can push back on requirements when needed to improve outcomes

AI-Native Development:

• AI coding experience is your most important and necessary skill - you have deep understanding of modern coding tools, specifically Claude Code, and are proficient with its various modes (Interactive, Plan, Headless, Agent Teams, Delegate)
• You're "AI-pilled" when it comes to problem-solving - you tackle any new problem, skill, or architectural challenge by leveraging AI tools and an AI-driven workflow. This is your default approach, not an experiment
• Strong systems thinking and architectural awareness - you direct AI to build while you architect, review, and verify. You know when AI output is correct and when it needs correction
• Can demonstrate recent AI-native work - you've shipped meaningful projects in the last 90 days where AI coding tools were your primary development environment

Technical Skills We Value

AI and Agentic Development:

• Claude Code proficiency: understanding of modes, context engineering (CLAUDE.md), custom commands, MCP integrations, and subagent coordination
• AI-driven development workflows and effective prompt engineering
• Ability to decompose complex engineering work into tasks suitable for AI assistance
• Strong judgment for when to leverage AI vs. when to code directly
• Experience verifying and reviewing AI-generated code for correctness, security, and maintainability

Backend:

• Python, FastAPI, PostgreSQL
• System design and scalable architecture
• GCP/cloud infrastructure
• API design (REST/GraphQL)

Frontend:

• React, TypeScript, Next.js
• Tailwind CSS, shadcn/ui
• State management (Redux, Zustand, React Query)
• Frontend performance optimization and accessibility (WCAG)

General:

• Testing frameworks (Jest, React Testing Library, Cypress/Playwright)
• Code reviews, documentation, and establishing conventions
• Product analytics tools (Amplitude, Mixpanel) for data-driven development

Bonus Points If

• Experience building autonomous agents with the Claude Agent SDK or similar agentic frameworks—you understand multi-agent orchestration, MCP integrations, and production agent deployment
• Experience with AI image/video generation or manipulation - familiarity with tools like Midjourney, Runway, Stable Diffusion, Sora, or integrating generation APIs into product workflows
• You've worked at an early-stage startup or been a first/early engineering hire
• You've built internal tooling, dashboards, or systems that scaled to thousands of users
• You've led technical initiatives or mentored junior engineers
• You've built or maintained design systems
• You're curious about AI, e-commerce, or automation—we work in that space
• You've shipped side projects or contributed to open-source
• You've worked directly with designers and can contribute to design discussions