Backend Engineer III
Listed on 2026-07-21
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Software Development
Backend Developer, Database Engineering, SQL Developer, Python
General Information:
Job Title: Backend Engineer III
Location: Toronto (Onsite/ Hybrid)
Job Type: Full-Time
Hiring Timeline: Immediate
Reporting Line: Head of R&D
Existing Vacancy: Yes
Final date to receive applications: Open until Filled
Salary Range: $105-125K CAD per year (negotiable)
About Fulfillment IQ (FIQ):
Fulfillment IQ is a supply chain engineering and transformation company that helps brands, retailers, and 3PLs design, build, and scale high-performance logistics operations.
We work at the intersection of strategy, operations, and technology where we solve complex, real-world problems across warehouse design, automation, order management, transportation, and end-to-end supply chain execution.
Our teams combine deep domain expertise with strong technical capability, delivering outcomes through consulting, systems implementation, and proprietary platforms that accelerate time-to-value and reduce delivery risk.
If you enjoy working in complex environments, partnering closely with clients, and seeing your work make a tangible impact on how global commerce moves, this is the place where your skills and judgment truly come to life.
Role Overview
As a Backend Engineer III, you will build the services, data models, and APIs that power a new greenfield platform at the core of FIQ's supply chain technology. You will write the business logic and processing workflows that everything else depends on, with a focus on data integrity, correctness, and performance. Working alongside the founding engineer and full-stack team, your work will form the reliable backbone the rest of the product is built on.
Key Responsibilities:
- Design and build backend services, APIs, and data models
- Implement business logic and processing workflows
- Design relational schemas and manage database migrations
- Ensure data integrity, correctness, and API performance
- Write tests and contribute to shared engineering standards
- Integrate with external systems and data sources
- Collaborate closely with full-stack engineers, product, and the platform's technical owner
- Participate in code review and technical design
- Help evolve the backend architecture as the platform scales
Must Have:
- 4-6 years of experience building backend services and APIs
- Strong, hands-on Python fluency; you will write production Python from day one
- Experience designing and building REST APIs, ideally with FastAPI, Flask, or Django
- Strong relational database skills, including schema design and SQL (PostgreSQL or similar)
- Experience with ORMs and data modeling
- Ability to translate requirements into robust, production-ready backend systems
- Strong engineering fundamentals across performance, reliability, and maintainability
- Comfort operating in a fast-moving, early-stage environment with high ownership
Nice to Have:
- Experience with AI-driven development and AI-assisted engineering workflows
- Experience with LLM-integrated development, including RAG and retrieval-augmented patterns
- Experience with FastAPI, SQLAlchemy, and Alembic
- Experience with multi-tenant systems or complex data models
- Experience building workflow engines, pipelines, or DAG-based processing
- Familiarity with CI/CD, containers (Docker), and cloud infrastructure
- Experience with calculation engines, rules engines, or deterministic data pipelines
- Exposure to logistics, supply chain, fintech, or data-intensive SaaS platforms
What Success Looks Like in the First 90 Days:
30 Days In
- Ramp up on the codebase, data model, and product domain
- Set up local development and deployment environments
- Ship your first backend changes and endpoints
- Build working relationships across the team
60 Days In
- Take ownership of a backend service or feature area
- Deliver production-grade APIs and data models
- Contribute to backend standards and shared patterns
- Actively participate in technical design and code review
90 Days In
- Independently own backend features from design through production
- Improve reliability, performance, and data integrity across services
- Demonstrate consistent, measurable delivery velocity
- Help raise the engineering quality bar for the growing team
Key Performance Indicators (KPIs):
- Consistent delivery of production-ready backend services and APIs
- Data integrity…
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