Current job opportunities are posted here as they become available. IT Manager Platform Engineering & AI Enablement Office: Canlan Sports Corporate Head Office Ontario Canlan Sports is the largest private sector owner and operator of recreational sports complexes in North America. The company's success in the recreation-entertainment & hospitality industry is attributed to a combination of innovative programming, service delivery leadership and world-class sports complexes. We understand our customers’ need for service excellence and are committed to it. Canlan Sports is currently looking for an IT Manager Platform Engineering & AI Enablement for our North York Head Office! Salary Range: $95,000- $145,000 per year. Job Summary Canlan Sports has moved beyond foundational technology implementation and is now building a contemporary platform engineering capability that enables secure, scalable software delivery and responsible enterprise AI adoption across the organization. Reporting to the VP of Technology, the Manager, Platform Engineering & AI Enablement is a hands-on leadership role responsible for designing, operating, and governing Canlan’s cloud platforms, developer tooling, integrations, and AI-enabled solutions — shifting the function's center of gravity from infrastructure administration toward platform engineering, developer enablement, and enterprise AI adoption. This role connects technology strategy with hands-on engineering execution. The successful candidate will lead the Data Platform and Web Development teams while overseeing cloud architecture, infrastructure automation, API and integration governance, production reliability, vendor technical accountability, and deployment practices across key business systems and digital initiatives. The role requires a practical builder and leader: someone comfortable designing architecture, writing automation, troubleshooting production issues, guiding technical standards, influencing vendors, mentoring internal resources, and ensuring cloud-hosted platforms are secure, reliable, cost effective, and ready to scale. The role will also play a key role in enabling Canlan’s responsible use of artificial intelligence and advanced data platforms. This includes helping evaluate, govern, operationalize, and scale AI-enabled solutions, including tools such as Snowflake Cortex,



Microsoft Copilot-enabled workflows, automation agents, and business-built AI solutions that require secure, reliable, and supportable production environments. KEY RESPONSIBILITIES AND DUTIES Design, build, maintain, and optimize cloud infrastructure across AWS and Microsoft Azure environments. Establish cloud architecture patterns, guardrails, landing zones, security baselines, and deployment standards. Lead infrastructure-as-code initiatives using tools such as Terraform, CloudFormation, Bicep, or equivalent technologies. Develop and maintain backup, disaster recovery, resiliency, and business continuity practices for cloud platforms. Act as a senior technical escalation point for complex cloud, infrastructure, website, API, and platform issues. Own and evolve Canlan's Internal Developer Platform (IDP), including GitHub Enterprise, GitHub Actions, and GitHub Copilot, to standardize, automate, and accelerate software delivery for internal engineering teams. Perform hands‑on software engineering and code review for platform tooling, automation, and internal developer tools, maintaining consistent engineering quality and standards. Platform Reliability & Operational Ownership Own platform reliability across cloud-hosted applications, websites, integrations, APIs, and connected enterprise systems. Establish monitoring, observability, alerting, uptime, and service-health reporting standards. Lead major incident response, root‑cause analysis, post-incident reviews, and corrective‑action planning. Create operational runbooks, support models, escalation paths, and production-readiness checklists. Partner with IT Operations to ensure clean handoffs between platform engineering, infrastructure support, and end‑user support. Integration, API & Data Platform Governance Design and govern APIs and integrations connecting SRM, CRM, Finance, POS, websites, mobile applications, data warehouse, reporting, and future platforms. Establish API lifecycle, security,



authentication, logging, documentation, versioning, and performance standards. Ensure business‑critical data movement between systems is reliable, secure, observable, and supportable. Collaborate with internal teams and vendors to prevent integration failures from falling between accountability gaps. Partner with business teams to evaluate AI‑enabled ideas, prototypes, automations, and user‑built tools, and determine the appropriate path to move viable solutions into governed production use. Support the technical rollout, administration, governance, and ongoing operational management of AI services and platforms, including Snowflake Cortex and other approved enterprise AI capabilities. Define production‑readiness requirements for AI solutions, including architecture, security, identity and access, data protection, monitoring, cost controls, support ownership, documentation, and change management. Help transition business‑developed AI tools, scripts, agents, models, and automations — including solutions built with Claude, ChatGPT, Microsoft Copilot, and similar tools — from ad hoc or experimental use into scalable, reliable, secure, and maintainable cloud or data‑platform environments. Collaborate with data, software, operations, and business stakeholders to ensure AI solutions integrate appropriately with enterprise systems, APIs, data warehouse platforms, reporting tools, and business workflows. Promote responsible AI practices aligned with Canlan’s AI governance expectations, privacy obligations, cybersecurity standards, and enterprise risk‑management requirements. Govern Power Platform and other citizen‑development tools (Power Apps, Power Automate, Power BI) to ensure business‑built solutions meet security, data governance, and supportability standards before being scaled. Act as an internal consultant to business leaders, identifying and evaluating AI and automation opportunities and translating business problems into viable, governed technical solutions. Establish AI observability, LLM usage monitoring, prompt lifecycle governance, and cost optimization practices across all approved AI platforms and tools. Vendor, SaaS & Technical Accountability Serve as the technical counterpart to strategic SaaS, cloud, website, POS,

📌 It Manager Platform Engineering & Ai Enablement (Toronto)
🏢 Canlan Sports
📍 Toronto