Principal Engineer - Zynque

Fulfillment IQ•Toronto, ON

60d•CA$175,000 - CA$210,000•Hybrid

About The Position

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.

Requirements

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 Haves

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)

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