Description

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
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-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 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, this is the place where your skills and judgment truly come 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
- Proficiency in Python and JavaScript/TypeScript (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 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 scal

📌 Principal Software Engineer (Canada)
🏢 Fulfillment IQ
📍 Canada