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Principal Software Engineer - Zynque

Job in Toronto, Ontario, C6A, Canada
Listing for: Fulfillment IQ
Full Time position
Listed on 2026-10-30
Job specializations:
  • Software Development
    Backend Developer
Salary/Wage Range or Industry Benchmark: 175000 - 210000 CAD Yearly CAD 175000.00 210000.00 YEAR
Job Description & How to Apply Below
General Information:

Job Title:

Principal Software Engineer - Zynque

Location:

Toronto (Onsite/ Hybrid)
Job Type:  Full-Time
Hiring Timeline:  Immediate
Reporting Line:  General Manager at Zynque
Existing Vacancy:  Yes
Final date to receive applications:  Open until Filled
Salary Range : $175 – $210K 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-performancelogisticsoperations.

We work at the intersection of strategy, operations, and technology where wesolvecomplex, real-world problems across warehouse design, automation, order management, transportation, and end-to-end supply chain execution.

Our teams combine deep domainexpertisewith 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,thisistheplace where your skills and judgment trulycome to life.

Role Overview
Zynque is FIQ's integration platform (iPaaS) for supply chain and logistics. After a year of development, it is live in production with active customers onboarding, and it now needs to grow into an enterprise-grade, high-throughput platform.

This is not a greenfield role, and it is not a maintenance role. It is a scale-up role: take a young production platform and harden it into a system that enterprises trust with their operations. You will own the architecture as it evolves under real load, with real customers, while the platform keeps shipping.

Must Have:

10+ years building and operating cloud-native backend or platform systems

Owned the scaling of a production SaaS or data platform through rapid customer growth: hardening, re-architecture under load, and maturing an early product to enterprise grade

Deep hands-on experience with high-throughput distributed systems: event streaming or message queues, async processing, idempotency, retries, back pressure

Strong performance engineering: profiling, load testing, horizontal scaling, capacity planning

Production reliability ownership: observability, SLOs, incident management, fault-tolerant design

Multi-tenant SaaS experience, including tenant isolation and noisy-neighbor problems

Proficiency in Python and JavaScript/Type Script (Next.js)

Hands-on daily coder with founder-level ownership; comfortable in low-process, high-ambiguity environments

Nice to Have:

Built or scaled an integration platform, ETL/data pipeline product, or API platform (connectors, transformation pipelines, webhooks)

Kafka or similar streaming infrastructure at scale

Supply chain or logistics systems exposure (WMS, OMS, TMS, EDI integrations)

AI-assisted engineering workflows; AI is deeply embedded in how we build

Experience shipping AI/LLM-driven capabilities in production (rag, generation pipeline, agentic workflows)

Key Responsibilities:

Own technical direction and architecture evolution of a live, revenue-generating platform

Scale throughput and reliability while customers onboard, including zero-downtime changes to running systems

Harden the platform: tenant isolation, rate limiting, security, data integrity

Establish observability, SLOs, and incident practices as the customer base grows

Lead performance and capacity work ahead of demand, not behind it

Raise engineering standards through design reviews and mentorship

Partner with Product to balance platform investment against feature delivery

Identify and retire scaling risks and technical debt before they compound

What Success Looks Like in the First 90 Days:

30:
Deep command…
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