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Added 7 hours ago
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Added 2 days ago
Principal Software Engineer - Zynque
Fulfillment IQ
Toronto, ON
Full-time
Job Title: Principal Software Engineer - Zynque
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Fulfillment IQ

Principal Software Engineer - Zynque

Toronto, ON, Canada

Pay: Salary Range: $175 - $210K CAD per year (negotiable)
Job type: Full-time
Apply by: Mar 23, 2027
Posting language: English
Posted: Sep 24, 2026

Apply About employer

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Original job 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 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

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 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 ownership, real influence, and the opportunity to shape platforms that power real-world logistics operations.

As an equal opportunity employer, we celebrate diversity and are committed to creating an inclusive environment for all team members.

Here's what makes working with us a rewarding experience:

Work That Matters

Build systems that directly impact global commerce and supply chain performance.

Career Growth That Matters

We invest in mentorship, leadership development, learning budgets, and long-term career growth.

Flexibility to Thrive

We support remote and hybrid work models by offering multiple office locations to help you perform at your best.

We Celebrate You

From team wins to work anniversaries, we recognize impact, celebrate milestones and reward performance.

A Collaborative Culture

Work alongside talented engineers, product leaders, and award-winning domain experts who value ownership, transparency, and high standards.

Perks you'll appreciate:

Employee Health: Comprehensive health and dental coverage for you and your family
Time Off: Competitive paid time off and flexible leave policies
Retirement: Retirement savings programs and employer contributions
Professional Growth: Dedicated learning and development budget
Flexible Work: Remote and hybrid work options
Perks: Equipment allowances, internet reimbursements, business travel coverage, and employee stock options (ESOP), where applicable.
Community Engagement: Team events, meetups, and company offsites

Use of Artificial Intelligence in Hiring:

FIQ uses artificial intelligence to assist in the screening, assessment, and shortlisting of applications for this position, including features within our applicant tracking system. AI supports human reviewers and does not make hiring decisions on its own. Final hiring decisions are made by FIQ personnel. If you have questions about how AI is used in this process, contact hr@fulfillmentiq.com.

Accommodations:

FIQ is committed to an inclusive and accessible recruitment process. Consistent with the Accessibility for Ontarians with Disabilities Act (AODA) and the Ontario Human Rights Code, accommodations are available on request at any stage of recruitment and assessment. Contact hr@fulfillmentiq.com and we will work with you to meet your needs.

Candidate Privacy:

Your personal information is collected and used for recruitment purposes in accordance with FIQ's Candidate Privacy Notice, available here, and in accordance with applicable Canadian privacy law (PIPEDA). This includes the use of AI-assisted screening described above and cross-border storage or processing that may occur in the United States. By applying, you acknowledge this notice. Questions: hr@fulfillmentiq.com.

Equal Opportunity:

Fulfillment IQ is a people-first company built on trust, collaboration, and ownership. We are proud to be an equal opportunity employer and are committed to building a diverse, inclusive, and high-performing workplace. We consider all qualified applicants without regard to any ground protected under the Ontario Human Rights Code, including race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, or disability.

Learn More About Us:

Website: fulfillmentiq.com

LinkedIn: Fulfillment IQ

Spotify: eCom Logistics Podcast Spotify

YouTube: eCom Logistics Podcast YouTube

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More about this job

Responsibilities

Own the architecture and technical direction of Zynque, scaling its throughput, reliability, security, and tenant isolation as customers onboard. Establish observability, SLOs, and incident practices; lead performance and capacity improvements; and guide engineering standards while balancing platform investment with product delivery.

Requirements

Requires 10+ years building and operating cloud-native backend or platform systems, including ownership of scaling a production SaaS or data platform into an enterprise-grade system. Candidates need hands-on expertise in distributed systems, performance engineering, reliability, multi-tenant SaaS, Python, and JavaScript or TypeScript, along with strong ownership and comfort in ambiguous environments.

Skills

Cloud-Native Backend Systems
Distributed Systems
Event Streaming
Message Queues
Asynchronous Processing
Performance Engineering
Production Reliability
Multi-Tenant SaaS
Python
JavaScript
TypeScript
Next.js
Observability
Incident Management
Capacity Planning
Technical Leadership

Benefits

Health and Dental Coverage
Paid Time Off
Flexible Leave
Retirement Savings Program
Learning and Development Budget
Remote and Hybrid Work Options
Equipment Allowance
Internet Reimbursement
Business Travel Coverage
Employee Stock Options
Team Events
Meetups
Company Offsites

Visa sponsorship

Not detected in the job text

Keywords

Zynque
Fulfillment IQ
Integration Platform (iPaaS)
Cloud-Native Systems
Backend Systems
Distributed Systems
SaaS
Data Platforms
Event Streaming
Message Queues
Asynchronous Processing
Idempotency
Retries
Backpressure
Performance Profiling
Load Testing
Horizontal Scaling
Capacity Planning
Observability
Service-Level Objectives (SLOs)
Incident Management
Fault-Tolerant Design
Multi-Tenant Architecture
Tenant Isolation
Rate Limiting
Python
JavaScript
TypeScript
Next.js
Kafka

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