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Software Development Engineer II

Confidential

Toronto, Ontario, Canada permanent

Posted: May 7, 2026

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Quick Summary

Write concise 2-3 sentence summary highlighting main responsibilities and key skills required.

Job Description

About the Role:

As an SDE-II at Fulfil, you own features, not tickets. That means taking a problem from first principles all the way to production: designing the data model, building the backend service, wiring the frontend, writing the tests, and keeping it healthy after it ships.

Our platform handles millions of orders and financial transactions for some of the fastest-growing eCommerce brands. You'll work inside a large, mature Python codebase and ship changes that merchants feel the same day.

Location: Toronto, ON (in-office during onboarding; hybrid 3 days/week in office after)

Type: Full-Time

Expected Start Date: Immediately

What You’ll Do:

• Build and ship web application features end-to-end: backend, API layer, and frontend, without handing off to specialists

• Own what you build in production: monitoring, debugging, and fixing issues when they surface

• Design and maintain REST and GraphQL APIs across a platform with 600+ endpoints

• Integrate LLM-powered features (OpenAI, Anthropic) into merchant workflows: order management, financial analysis, logistics

• Build and maintain integrations with Shopify, Amazon, FedEx, DHL, and other commerce platforms

• Refactor and modernize legacy systems while keeping pace with new feature delivery

• Participate in code reviews and architecture discussions: raise the bar and expect the same in return

Our Approach to AI:

We use LLMs to embed AI capabilities into Fulfil's ERP: natural language interfaces, intelligent automation, and merchant-facing insights. The Fulfil x MCP integration with Claude is a good example of the direction we're heading. We're not an ML research company. We don't train custom models or build novel architectures. The work is about integrating and productizing AI to solve real commerce problems.

We also expect engineers to be AI-native in their own workflow: using AI tools to move faster while maintaining strong review discipline, security awareness, and ownership of the final code.

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