Senior Engineering Manager

Fulfillment IQ • Toronto, ON

2d • CA$150,000 - CA$170,000 • Hybrid

About The Position

Fulfillment IQ is looking for a dynamic Senior Engineering Manager with 8+ years of software engineering experience, including at least 4 years in engineering leadership, people management, or technical delivery leadership. The Senior Engineering Manager will be responsible for leading high-performing engineering teams in Fulfillment IQ’s AI-assisted, squad-based delivery model. This role combines people leadership, technical execution, customer-facing delivery ownership, architecture contribution, and hands-on engineering across full-stack development, cloud infrastructure, databases, DevOps, and automation-first quality practices. This role is critical to Fulfillment IQ’s next-generation delivery model: builder-led, AI-assisted, architecture-driven, automation-first, and client-outcome focused. The Senior Engineering Manager will lead cross-functional engineering teams across backend, frontend, cloud, DevOps, QA automation, and solution delivery while actively contributing to architecture, design, coding, troubleshooting, customer escalations, and engineering governance. The ideal candidate is not only a people manager, but also a hands-on engineering leader who can operate across C#.NET, Angular, React, Python, SQL Server, PostgreSQL, MongoDB, Azure Infrastructure, Google Cloud Platform, Azure DevOps Pipelines, and modern software delivery practices.

Requirements

• 8+ years of software engineering experience.
• 4+ years of engineering leadership, people management, or technical delivery leadership experience.
• Strong hands-on proficiency in C#.NET Core and .NET Framework.
• Frontend experience with Angular and React.
• Working knowledge of Python for automation, scripting, data handling, or integration work.
• Strong database experience with SQL Server, PostgreSQL, and MongoDB.
• Proven experience with Azure Infrastructure and/or Google Cloud Platform, including App Services, VMs, Storage, Networking, Identity, Security, and Monitoring.
• Strong experience with Azure DevOps Pipelines, CI/CD automation, branching strategies, build/release workflows, and deployment governance.
• Experience leading cross-functional teams in Agile, Scrum, squad-based, or pod-based delivery models.
• Knowledge of AI-assisted engineering practices and familiarity with tools such as GitHub Copilot, Azure AI, ChatGPT Enterprise, Cursor, or similar platforms.
• Ability to balance strategic leadership with hands-on technical contributions.
• Strong understanding of software architecture, integration patterns, APIs, security, scalability, and production support.
• Experience with code reviews, design reviews, incident management, and engineering quality practices.
• Excellent communication, customer engagement, problem-solving, and stakeholder management skills.

Nice To Haves

• Experience with microservices architecture, distributed systems, and API-first design.
• Experience with containerization and orchestration using Docker and Kubernetes.
• Knowledge of cloud security, identity management, secure coding, secrets management, and compliance-aware development.
• Exposure to data analytics, business intelligence, machine learning, or AI-enabled product integrations.
• Experience implementing AI-assisted software engineering practices using tools such as GitHub Copilot, Azure AI, ChatGPT Enterprise, Cursor, or similar platforms.
• Experience building reusable engineering accelerators, templates, frameworks, prompts, or reference architectures.
• Experience in IT consulting, supply chain, fulfillment, warehouse management, logistics, or WMS environments.
• Azure certifications such as: Azure Solutions Architect Expert, Azure DevOps Engineer Expert, Azure Developer Associate, Azure Administrator Associate.
• Google Cloud certifications or relevant hands-on experience with Google Cloud Platform.

Responsibilities

• Lead, mentor, and develop engineering teams across backend, frontend, integration, database, cloud, DevOps, and automation domains.
• Own people management responsibilities, including performance feedback, coaching, career development, capacity planning, and team engagement.
• Build a high-accountability engineering culture focused on ownership, quality, collaboration, and continuous improvement.
• Partner with Technical Leads to ensure engineers receive strong technical direction, mentorship, and architectural guidance.
• Support hiring, onboarding, skill development, and succession planning across engineering roles.
• Identify skill gaps and build upskilling plans for AI-assisted engineering, cloud, DevOps, automation, and architecture practices.
• Promote a builder-led culture where engineers are close to customer problems and accountable for solution outcomes.
• Champion AI-assisted engineering practices across software development, testing, documentation, prototyping, debugging, code review, and delivery execution.
• Establish responsible usage expectations for AI coding assistants and engineering accelerators, ensuring outputs are secure, maintainable, scalable, and aligned with architecture standards.
• Guide teams in using AI tools to accelerate boilerplate development, unit test creation, documentation, troubleshooting, refactoring, and solution prototyping.
• Drive practical adoption of AI-assisted engineering tools such as GitHub Copilot, Azure AI, ChatGPT Enterprise, Cursor, or similar platforms.
• Partner with Technical Leads to define reusable prompts, solution patterns, code templates, engineering playbooks, and accelerators.
• Measure AI-assisted productivity improvements while protecting quality, reducing rework, and maintaining strong engineering discipline.
• Ensure AI-generated code is reviewed through appropriate peer review, security review, test coverage, and release validation processes.
• Build a delivery culture where AI improves engineering velocity without weakening ownership, accountability, or technical judgment.
• Own engineering delivery commitments across assigned projects, clients, delivery squads, or pods.
• Define technical delivery plans, milestones, estimates, dependencies, risks, and execution timelines.
• Ensure engineering work aligns with business objectives, product priorities, architecture standards, and client commitments.
• Drive sprint execution, engineering throughput, delivery predictability, and milestone completion.
• Partner with Product Owners, Directors of Product, QA, DevOps, Technical Leads, and Project/Delivery teams to ensure backlog readiness and execution clarity.
• Proactively identify delivery risks, technical blockers, resource constraints, and escalation points.
• Ensure engineering teams deliver transparency, predictable cadence, and measurable outcomes.
• Own engineering status reporting, delivery health, technical risk updates, and remediation plans.
• Contribute directly to solution architecture, technical design, and implementation planning.
• Review and validate architecture decisions for scalability, security, maintainability, reliability, and cost efficiency.
• Partner with Technical Leads to define system design, integration patterns, API standards, cloud design, and deployment architecture.
• Ensure engineering teams follow coding standards, design principles, secure development practices, and documentation expectations.
• Lead technical design reviews, architecture reviews, code reviews, and production readiness reviews.
• Support modernization efforts involving microservices, cloud-native architecture, APIs, event-driven patterns, and data integration.
• Drive reuse of proven patterns, frameworks, templates, and accelerators across client engagements.
• Design, develop, and maintain scalable, secure, and high-performance applications using C#.NET, Angular, React, and Python.
• Provide hands-on troubleshooting across applications, databases, integrations, cloud, and pipeline layers.
• Review and contribute to code where needed, especially for complex modules, escalations, architecture-critical components, and production issues.
• Optimize and manage databases including SQL Server, PostgreSQL, and MongoDB for performance, reliability, and scalability.
• Configure and improve cloud infrastructure including Azure and Google Cloud Platform services.
• Implement and improve CI/CD pipelines using Azure DevOps Pipelines.
• Support engineering teams in resolving complex technical issues, production defects, performance bottlenecks, and deployment failures.
• Maintain enough hands-on depth to earn technical credibility with engineers, clients, and architecture stakeholders.
• Drive adoption of modern DevOps practices across build, test, deployment, monitoring, rollback, and release management.
• Improve CI/CD automation, deployment frequency, pipeline reliability, and lead time for changes.
• Partner with DevOps Engineers and Technical Leads to standardize pipeline templates, release gates, deployment checks, and environment practices.
• Ensure cloud infrastructure is secure, scalable, observable, and cost-conscious.
• Promote infrastructure-as-code, automated environment provisioning, containerization, and modern deployment models where applicable.
• Strengthen observability using logging, monitoring, alerting, dashboards, and incident response practices.
• Support production readiness, release governance, and operational support models.
• Partner with Lead QA, Senior QA Engineers, QA Automation Engineers, and Technical Leads to embed quality earlier in the development lifecycle.
• Ensure engineering teams support test automation, unit testing, integration testing, API testing, and regression readiness.
• Drive reduction in defect leakage, rework, escaped defects, and production incidents.
• Ensure code quality gates are integrated into CI/CD pipelines.
• Support automation-first delivery by encouraging developers to write testable, maintainable, and observable code.
• Participate in root-cause analysis for major defects and ensure corrective actions are implemented.
• Ensure AI-assisted development is balanced by strong test coverage, peer reviews, security reviews, and release validation.
• Act as a customer-facing engineering leader for solution discussions, technical escalations, delivery risks, and production issues.
• Translate client needs into technical execution plans in partnership with Product, Delivery, and Architecture.
• Communicate complex technical topics clearly to client stakeholders, internal leadership, and delivery teams.
• Manage technical escalations with urgency, ownership, and structured remediation.
• Build client confidence through strong technical judgment, delivery transparency, and solution ownership.
• Support pre-sales, discovery, solution estimation, and proposal inputs where required.
• Ensure engineering delivery remains aligned to client outcomes, business value, and Fulfillment IQ standards.
• Lead engineering execution within Fulfillment IQ’s squad-based delivery model.
• Ensure engineers are aligned to the right squads or pods based on project needs, skills, availability, and delivery priorities.
• Partner with Product, QA, DevOps, WMS/domain SMEs, and Delivery leaders to create cross-functional execution clarity.
• Support Technical Leads as architecture and technical execution anchors within delivery pods.
• Ensure teams understand ownership boundaries, communication cadence, escalation paths, and delivery expectations.
• Promote collaboration across Product, Engineering, QA, Automation, DevOps, and client stakeholders.
• Reduce handoff friction by embedding engineering early in discovery, estimation, solution design, and backlog refinement.
• Track and improve engineering metrics, including velocity, throughput, predictability, defect rate, rework, deployment frequency, and incident resolution time.
• Use data to identify bottlenecks, productivity gaps, quality issues, and process improvement opportunities.
• Establish team-level dashboards for delivery health, quality trends, pipeline performance, and engineering capacity.
• Drive continuous improvement through retrospectives, root-cause analysis, engineering reviews, and process refinement.
• Improve estimation accuracy, sprint completion, backlog flow, and release confidence.
• Report engineering health and risks to SVP Architecture and cross-functional leadership.

Benefits

• Comprehensive health and dental coverage for you and your family
• Competitive paid time off and flexible leave policies
• Retirement savings programs and employer contributions
• Dedicated learning and development budget
• Remote and hybrid work options
• Equipment allowances, internet reimbursements, business travel coverage, and employee stock options (ESOP), where applicable.
• Team events, meetups, and company offsites

What This Job Offers

• Job Type: Full-time
• Career Level: Senior