IT Manager Platform Engineering & AI Enablement

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 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.
• 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 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, 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 endpoint/cloud 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, coding/automation 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 cloud/platform engineering resources.
• Promote a culture of accountability, ownership, continuous improvement, and operational excellence.

EDUCATION AND EXPERIENCE

Technical Competencies

Preferred Certifications

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 driver’s 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.