IT Manager Platform Engineering & AI Enablement (Canada)

IT Manager Platform Engineering & AI Enablement (Canada)

13 Sep
|
Canlan Sports
|
Canada

13 Sep

Canlan Sports

Canada

Canlan Sports is the largest private sector owner and operator of recreational sports complexes in North America The companys 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 95000 145000 per year Job Summary Canlan Sports has moved beyond foundational technology implementation and is now building a modern 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 Canlans cloud platforms developer tooling integrations and AI enabled solutions shifting the functions 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 Canlans 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 Cloud Architecture &
- Hands On Engineering 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 Canlans 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 AI Platform Enablement &




- Productionization 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 Canlans 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 payment and platform vendors Review vendor architecture proposed changes release plans integration designs security practices and support models Monitor and enforce technical performance expectations SLA obligations incident response and change control requirements Escalate vendor performance issues with evidence based technical analysis impact summaries and remediation recommendations Security Risk &
- Compliance Embed security by design principles into cloud architecture integrations APIs identity network configuration and deployment processes Support identity and access management SSO MFA logging network segmentation vulnerability remediation and endpointcloud security practices Partners with cybersecurity vendors and internal stakeholders to improve detection response hardening and audit readiness Support NIST SOC2 privacy cybersecurity data governance and technology risk management initiatives Ensure technical documentation architecture diagrams access models and operational controls are maintained and auditable Leadership Standards &
- Team Enablement Provide technical leadership coaching and mentorship to direct reports and other IT staff Define engineering standards codingautomation practices documentation expectations and knowledge sharing routines Lead cross functional technical planning sessions and translate strategic priorities into executable platform work Participate in recruiting onboarding goal setting and performance development for future cloudplatform engineering resources Promote a culture of accountability ownership continuous improvement and operational excellence EDUCATION AND EXPERIENCE 8 years of progressive experience in cloud engineering infrastructure engineering platform engineering DevOps systems engineering or solution architecture 3 years in a technical lead architect senior engineer supervisor manager or equivalent leadership role Demonstrated experience designing deploying and operating production cloud environments in AWS andor Microsoft Azure Hands on experience with APIs integrations web platforms networking identity security controls monitoring and deployment automation Experience managing business critical production systems with availability change control and incident response requirements Experience supporting governing or operationalizing AI enabled platforms data services automation tools or business built technology solutions in a production environment Proven ability to communicate complex technical matters clearly to executives business stakeholders vendors and technical teams Technical Competencies AWS services such as VPC EC2 RDS Lambda ECSEKS CloudFront Route 53 WAF IAM CloudWatch and related services Microsoft Azure services Microsoft Entra ID Microsoft 365 Intune Defender identity endpoint management and related administration capabilities Infrastructure as Code using Terraform CloudFormation Bicep Ansible PowerShell Python or comparable automation tools CICD Git based workflows DevOps practices release management environment governance and deployment automation Containers and orchestration technologies such as Docker and Kubernetes or managed container services API design API management integration patterns authentication logging monitoring and data transfer governance Networking DNS firewalls VPNs load balancers CDN web application firewalls SSLTLS and secure architecture practices Monitoring and observability tools log analysis incident response root cause analysis and performance tuning SQL relational databases data movement reporting platforms and data governance concepts AI enabled platform concepts including responsible AI governance production readiness modeltool lifecycle management usage monitoring prompt enabled workflows and operational support models Snowflake Snowflake Cortex data warehouse platforms semantic data layers data pipelines and secure access patterns for analytics and AI enabled use cases Azure OpenAI Claude OpenAI APIs and other large language model platforms including AI gateways model lifecycle management and prompt engineering governance
- Microsoft Graph and GraphQL for enterprise dataAPI integration
- TypeScript for internal tooling and platform development Preferred Certifications AWS Certified Solutions Architect Professional or Associate AWS Certified DevOps Engineer Skilled Microsoft Certified Azure Solutions Architect Expert Microsoft Certified Azure Administrator Associate AI data platform Snowflake Microsoft Azure AI Microsoft Copilot or responsible AI trainingcertification would be considered an asset CISSP CCSP Security or equivalent cloudsecurity certification ITIL Foundation or equivalent service management certification Microsoft Certified Azure AI Engineer Associate
- GitHub Copilot certifications where applicable
- FinOps Foundation certification
- Certified Kubernetes Administrator CKA; or other relevant AI platform certifications would be considered an asset ADDITIONAL REQUIREMENTS Must be self motivated detail oriented organized and able to work independently with limited supervision while leading collaboratively across teams Ability to participate in occasional after hours support maintenance windows incident response or vendor escalations when required Strong documentation discipline including architecture diagrams standards runbooks operational records and user facing technical guidance where required Valid drivers license and access to reliable transportation may be required for site visits or field support where needed If you are interested in this role and becoming part of the Canlan team please apply online NOTE Only those applicants under consideration will be contacted Please accept our utmost appreciation for your interest We are an Equal Employment Opportunity employer Employment decisions are based on merit and business needs and not on race color creed age sex gender sexual orientation national origin religion marital status medical condition physical or mental disability military service pregnancy childbirth and related medical conditions or any other classification protected by federal provincial and local laws and ordinances Reasonable accommodation is available for qualified individuals with disabilities upon request This Equal Employment Opportunity policy applies to all practices As part of our recruitment and hiring practices we may use AI based tools to assist in the initial screening and assessment of applications All final hiring decisions are made by human reviewers

📌 IT Manager Platform Engineering & AI Enablement (Canada)
🏢 Canlan Sports
📍 Canada

Reply to this offer

Impress this employer describing Your skills and abilities, fill out the form below and leave Your personal touch in the presentation letter.

Subscribe to this job alert:

Get the latest job offers by email for: it manager platform engineering & ai enablement (canada) / canada

Subscribe to this job alert:

Get the latest job offers by email for: it manager platform engineering & ai enablement (canada) / canada