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Platform Manager Jobs in Whitby, ON (NOW HIRING)

PulseLearning

Manager, Learning Deployment

Toronto, ON · Remote

This role oversees end-to-end learning deployment activities across platforms such as Content Management Systems (CMS), Global Learning Management Systems (GLMS), virtual classroom platforms, Degreed ...

New

PulseLearning

Manager, Learning Deployment

Toronto, ON · On-site

This role oversees end-to-end learning deployment activities across platforms such as Content Management Systems (CMS), Global Learning Management Systems (GLMS), virtual classroom platforms, Degreed ...

New

Okta

Senior Product Manager - UI Platform

Toronto, ON · Hybrid

Role and Team Context The Senior Product Manager for the UI Platform is a high-impact individual contributor role, serving as a cornerstone for Okta's global user experience infrastructure. Joining ...

Hut 8

Platform Administrator

Toronto, ON · Hybrid

Manage compute, storage, and network resource pools to meet SLA commitments for multi-tenant ... Enforce platform hardening, role-based access control, and security baselines across the VMware ...

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Platform Manager information

What are the key skills and qualifications needed to thrive as a platform manager?

To thrive as a Platform Manager, you need expertise in platform architecture, project management, and a solid understanding of business operations, often supported by a relevant degree or industry certification. Familiarity with cloud platforms (such as AWS or Azure), API integrations, and product management tools like JIRA is typically required. Excellent communication, leadership, and problem-solving abilities help drive cross-functional collaboration and strategic decision-making. These skills ensure the platform's stability, scalability, and alignment with business goals, which are critical for organizational success.

What is the difference between Platform Manager vs Product Manager?

AspectPlatform ManagerProduct Manager
Primary FocusManaging and maintaining technology platforms and infrastructureDeveloping and guiding specific products or features
Required SkillsTechnical knowledge of platforms, systems integration, and infrastructureMarket research, user experience, and product development
Work EnvironmentIT teams, engineering departments, technical operationsCross-functional teams including marketing, design, and engineering
Industry UsageTechnology, SaaS, cloud servicesSoftware, consumer goods, digital services

While both roles involve technical expertise, a Platform Manager focuses on maintaining and optimizing the underlying technology infrastructure, whereas a Product Manager concentrates on developing and managing specific products to meet customer needs.

How do you become a platform manager?

To become a platform manager, candidates typically need a combination of experience in project management, technical knowledge of the platform's technology stack, and strong leadership skills. Relevant education often includes a bachelor's degree in computer science, information technology, or a related field, along with experience in managing digital platforms or software development projects. Certifications such as PMP or Agile can also enhance qualifications.

How does a platform manager typically collaborate with cross-functional teams to ensure platform reliability and scalability?

A Platform Manager frequently works with engineering, product, and operations teams to align platform capabilities with business goals. They facilitate regular communication between developers, system administrators, and other stakeholders to identify potential bottlenecks, address incidents, and plan for future growth. By establishing clear processes for incident management, change control, and performance monitoring, Platform Managers help ensure that the platform remains reliable and scalable while meeting user needs. This collaborative approach not only strengthens the technical foundation but also fosters a culture of shared responsibility across departments.

What is a platform manager?

A Platform Manager is a professional responsible for overseeing the development, maintenance, and optimization of a specific technology platform within an organization. They coordinate between technical teams, stakeholders, and users to ensure the platform meets business needs and operates reliably. Platform Managers may also be involved in strategic planning, vendor management, and implementing new features or integrations. Their role is crucial for ensuring platforms are scalable, secure, and aligned with organizational goals.
What cities near Whitby, ON are hiring for Platform Manager jobs? Cities near Whitby, ON with the most Platform Manager job openings:
Platform Manager jobs near you
Infographic showing various Platform Manager job openings in Whitby, ON as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 13% Part Time, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution.

Senior AI Platform Operations Engineer

EQ Bank | Canada's Challenger Bank

Toronto, ON • On-site

Full-time

Re-posted 4 days ago

Job description

Purpose of Job
The Senior AI Platform Operations Engineer is accountable for the reliability, operability, and controlled enablement of the organization's AI platform. 

This role ensures that AI Platform services and solutions are production-ready, secure, observable, and compliant by executing disciplined operational practices, across platform management, monitoring, incident coordination, and governance control enforcement. 

The incumbent plays a key role in enabling the safe and scalable adoption of AI by ensuring that AI solutions are deployed, monitored, supported, and continuously improved in line with enterprise standards for reliability, security, and compliance

Main Activities

AI Platform Reliability and Operations
   Administer and operate the AI platform to ensure availability, performance, and resilience across environments, integrations, and supporting infrastructure.
   Monitor platform health using dashboards, logs, metrics, and alerts, and coordinate incident and service restoration activities.
   Lead operational triage, escalation coordination, and post-incident reviews to strengthen services stability and resilience. 
   Track and report on service reliability indicators, incident trends, and operational performance.

AI Platform Enablement & Production Readiness
   Enable approved AI use cases into production by ensuring: 
o    Environment readiness, 
o    Dependency validation, 
o    Completion of operational readiness checklists, 
o    Structured service transition activities
   Support platform lifecycle management through:
o    Release coordination, 
o    Change readiness validation, 
o    Maintenance and capacity planning.
   Ensure AI platform changes meet defined operational and control readiness criteria prior to release

Observability, Automation & AI Ops
   Implement and maintain observability capabilities, including telemetry, logging, metrics, and traces required for enterprise AI operations.
   Analyze operational data to identify anomalies, recurring issues, root-cause patterns.
   Implement AI Ops use cases such as:
o    Alert correlation, 
o    Anomaly detection, 
o    Root-cause support, 
o    Forecasting and predictive insights, 
o    Automation of repetitive operational tasks.
   Continuously improve operational efficiency through targeted automation and process optimization.

Governance, Risk, & Control Execution
   Execute governance controls for AI solutions, including:
o    Usage and access controls, 
o    Data privacy considerations, 
o    Auditability and traceability, 
o    Human oversight requirements
   Ensure operational practices align with enterprise security policies, risk controls, and compliance requirements.
   Maintain documentation and evidence required for audit, governance reviews, production readiness checkpoints, and control validation.
   Identify control gaps and escalate risks appropriately to relevant governance and risk stakeholders.

AI Asset Visibility & Operational Integrity
   Maintain operational visibility of AI platform assets required for monitoring, support, and cost alignment. 
   Validate asset ownership, relationships, and lifecycle status in collaboration with application and platform owners. 
   Support ongoing audits to ensure AI assets and associated cost attribution remain accurate and current.

Knowledge/Skill Requirements
   University degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent practical experience.
   5-7 years of experience in platform operations, site reliability engineering, DevOps, cloud operations, or enterprise IT operations.
   Strong experience supporting production platforms and services, including monitoring, incident response, problem management, service restoration, and operational reporting.
 

Technical Expertise:
   Experience with cloud platforms, observability, automation, configuration management, and integration patterns, including Azure Automation runbooks (PowerShell/Python), Azure AI, Copilot integrations, AKS, virtual networks (hub-and-spoke), and App Service.
   Expertise with observability tools such as Azure Monitor, Application Insights, and Grafana.
   Experience with CI/CD and automation tools such as Azure DevOps, GitHub Actions, and Logic Apps.
   Knowledge of configuration management and infrastructure-as-code tools such as Bicep, Terraform, Azure Policy, Key Vault, and relevant open-source technologies.
   Knowledge of integration and event-driven technologies such as API Management, open-source API tools, Service Bus, Event Grid, and Apache Kafka.
   Working knowledge of platform-supporting data and search services such as Elastic, Azure AI Search, and Cosmos DB.
   Knowledge of enterprise network, edge security, and related internal platforms such as DNA, Fortinet, and Akamai is an asset.

Additional Capabilities:
   Working knowledge of AI/ML operational concepts, including model lifecycle support, telemetry, governance controls, human-in-the-loop practices, and production monitoring.
   Strong understanding of ITIL/ITSM processes, including change, release, incident, problem, configuration, and service reporting practices.
   Analytical and structured thinker with strong troubleshooting, root-cause analysis, prioritization, and continuous improvement skills.
   Strong service orientation, professional maturity, and the ability to collaborate effectively across operations, engineering, security, risk, data, and business teams.
   Experience creating technical documentation, operational procedures, support playbooks, dashboards, and user guidance materials.
   Knowledge of security, privacy, audit, and compliance considerations relevant to enterprise AI and platform operations.
Job Complexities / Thinking Challenges
This role requires balancing platform reliability, operational efficiency, and governance discipline in a rapidly evolving AI environment. 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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