Description:
General Information
Job Title: Tech Lead
Location: Toronto, ON (Onsite/ Hybrid)
Job Type: Full-Time
Reporting Line: Director of Technical Services
Salary Range: $125k-$155k 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:
We are seeking a hands-on Technical Lead to drive engineering execution and translate architectural vision and business requirements into high-quality, scalable delivery across Fulfillment IQ’s client engagements.
This role is a customer-facing, individual contributor position supporting one of Fulfillment IQ’s most critical enterprise clients. You will work closely with Product Managers, Product Owners, and business stakeholders to translate product and business requirements into executable technical designs, including application and database design.
You will be expected to independently build and demonstrate Proof of Concepts (PoCs) to validate architecture, technology choices, and client use cases, including UI-driven PoCs where needed (e.g., React-based applications).
This is not a pure architecture role. This is not a pure people management role. This is a hands-on delivery leadership role where you are expected to actively design, build, and guide execution.
You will operate as the execution owner between Product, Architecture, and Engineering, ensuring that requirements are translated into clear, actionable implementation plans and executed correctly by the engineering team.
This role is fundamental to how we scale delivery in a services environment. You will enable larger teams to execute effectively by breaking down complex requirements and architectures into actionable components, guiding engineers, and ensuring consistent engineering standards across the project.
You will be responsible for owning the technical execution layer of projects, ensuring that systems built across cloud-native environments (GCP preferred; Azure/AWS supported) are scalable, maintainable, and aligned with architectural intent.
This role combines deep hands-on coding, technical leadership, and delivery accountability. You are expected to actively contribute to the codebase, lead engineering quality, and ensure delivery timelines are met without compromising long-term system integrity.
You will act as a force multiplier, improving team throughput, reducing ambiguity and rework, and ensuring that small implementation gaps do not become large-scale system failures or cost inefficiencies in production.
We are not looking for someone who simply writes code. We are looking for a delivery-focused technical leader who takes ownership of execution, leads from the front, and ensures that what is designed is what gets built—efficiently and at scale.
You are comfortable operating in ambiguity, working directly with customers, taking ownership of outcomes, and doing whatever it takes to ensure delivery success without waiting for perfect direction.
Must Haves:
- 6–10 Years of Hands-On Engineering Excellence with a proven track record of designing, building, and shipping complex, production-grade systems at scale.
- Strong Cloud-Native Delivery Expertise (GCP preferred; Azure/AWS welcome) with hands-on experience building and operating cloud-native systems end-to-end. Strong preference for Google Cloud Platform (GCP), including services such as Cloud SQL and Cloud Spanner.
- Strong Backend Engineering Expertise (Python strongly preferred) with experience building high-performance APIs and backend services, ideally using FastAPI or similar modern frameworks.
- Strong System Design Capability, including application architecture and database design, with the ability to convert business requirements into scalable technical solutions.
- Experience translating product and business requirements into execution-ready technical artifacts, bridging the gap between Product and Engineering teams.
- Hands-on experience building Proof of Concepts (PoCs) to validate solutions, including ability to build UI-driven prototypes (e.g., React-based applications) when required.
- Deep Understanding of Distributed Systems & Microservices, including domain-driven design, event-driven architectures, and data consistency trade-offs.
- Containerization & Modern DevOps Practices, including hands-on experience with Docker, Kubernetes (GKE/AKS), and CI/CD pipelines.
- Linux & Systems-Level Proficiency, with strong debugging and troubleshooting capabilities in production environments.
- Proven Technical Leadership & Mentorship, with the ability to guide engineers through code reviews, design discussions, and hands-on problem solving.
- Strong Individual Contributor mindset, with a clear bias toward hands-on coding, technical execution, and delivery ownership rather than people management.
- Demonstrated ability to break down complex systems into executable components and ensure delivery is completed correctly and efficiently.
- Strong ownership of feature and epic delivery, with the ability to lead execution end-to-end and ensure alignment between design and implementation.
- Strong Problem-Solving Under Pressure, including exceptional debugging skills and the ability to remain structured and decisive in high-pressure environments.
- Ability to translate architecture into clear implementation plans and guide engineers through execution without ambiguity.
- Experience working in customer-facing environments, with the ability to communicate technical decisions effectively to stakeholders.
What Success Looks Like in the First 90 Days
First 30 Days
- Gain a deep understanding of Fulfillment IQ’s delivery model, engineering standards, and client engagement approach.
- Become familiar with the GXO account, business context, product roadmap, and current technical architecture.
- Onboard into the existing technology stack, including Python, FastAPI, Google Cloud Platform, and associated databases.
- Build strong working relationships with Product Managers, Product Owners, Architects, and Engineering team members.
- Review existing codebases, documentation, and delivery workflows to understand current challenges and improvement areas.
First 60 Days
- Take ownership of translating product and business requirements into clear technical designs, including application and database design.
- Actively contribute to the codebase through hands‑on development, code reviews, and technical guidance.
- Lead the execution of epics and features, ensuring alignment between architectural intent and implementation.
- Develop and demonstrate Proof of Concepts (PoCs) to validate technical approaches, including backend services and UI‑driven PoCs (e.g., React where required).
- Collaborate closely with cross‑functional teams to remove blockers and improve delivery efficiency.
First 90 Days
- Fully own the technical execution layer for assigned initiatives, ensuring high‑quality, scalable, and maintainable delivery.
- Serve as a trusted technical partner for product and client stakeholders, confidently representing technical decisions in customer‑facing discussions.
- Improve team throughput and reduce rework by proactively identifying risks, gaps, and inefficiencies in execution.
- Set and uphold strong engineering standards across code quality, cloud usage, and DevOps practices.
- Be recognized as a reliable, hands‑on Technical Lead who consistently ensures that what is designed is what gets built, on time and at scale.
Key Performance Indicators (KPIs):
- Technical Delivery & Code Quality
- Cloud & Infrastructure Management