24 Oct
|
Fulfillment IQ
|
Toronto
24 Oct
Fulfillment IQ
Toronto
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
Application Deadline: 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 technologywhere wesolvecomplex, real-world problems across warehouse design, automation, order management, transportation, and end-to-end supply chain execution.
Our teams combine deep domainexpertisewith solid 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, backpressure
- 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
- 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 of the codebase and production topology; shipping to production; documented view of the top scaling and reliability risks
- 60: First major scaling or reliability improvements live; observability and SLO baseline established
- 90: Enterprise-readiness roadmap owned and in motion; measurable gains in throughput, latency, or stability
Key Performance Indicators (KPIs):
- Platform uptime and reliability
- Throughput and latency under growing customer load
- Customer and integration onboarding velocity
- Incident frequency and time to recovery
- Enterprise scalability readiness
Why You'll Love Working Here:
At Fulfillment IQ, we don't just build supply chain solutions. We build careers, friendships, and unforgettable experiences.
We believe in giving our senior technical leaders real
📌 Principal Software Engineer (Toronto)
🏢 Fulfillment IQ
📍 Toronto