Mississauga, On Senior infrastructure and itsm platform engineer Jobs – 13 Openings This Week

Senior AI Platform Operations Engineer
EQ Bank | Equitable Bank —Toronto, ON
- Full-time
- Hybrid work
- Azure
- Computer Science
- DevOps
Quick apply
12d
Cloud Platform Leader (remote in Canada only)
NTT Ltd —Toronto, ON
- $154,000–$237,000 a year
- Full-time
- Remote
- Azure
- Travel
- In-person
- Dental care
- Employee assistance program
NOC Specialist
Beanfield Technologies Inc. —Toronto, ON
- $80,000–$95,000 a year
- Full-time
- Computer networking
- Communication skills
Quick apply
Senior Cloud Engineer - Terraform, Azure
BDO —Toronto, ON
- $84,000–$128,000 a year
- Full-time
- Microsoft Excel
- Azure
- DevOps
- Paid time off
4d
Director, Global Fraud Technology - Service Reliability & Production Engineering
Scotiabank —Toronto, ON
- Full-time
- Azure
- DevOps
- Financial services
- Profit sharing
12d
Sr. Observability Engineering
McKesson —Mississauga, ON
- $99,100–$132,100 a year
- Azure
- Computer Science
- DevOps
7d
Senior Manager, Service Reliability
Scotiabank —Toronto, ON
- Hybrid work
- Analysis skills
- Financial services
- Leadership
- Tuition reimbursement
12d
Sr. Technical Lead, Employee Onboarding
Royal Bank of Canada —Toronto, ON
- Full-time
- Computer Science
- Engineering
- Master's degree
14d
Delivery Director – Managed Services
EPAM Systems, Inc. —Toronto, ON
- Customer service
- Analysis skills
- Team management
- Employee stock purchase plan
- Disability insurance
Senior Data Analyst, Canada
Valtech Group —Toronto, ON
- Remote
- Azure
- DevOps
- Data analysis skills
Intermediate Specialist, Cloud & Infrastructure Engineering
Definity Financial Corporation —Toronto, ON
- $69,500–$119,500 a year
- Weekends as needed
- Hybrid work
- Azure
- AWS
- Scripting
- Tuition reimbursement
- Paid time off
1d

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Director, Technical Operations - Corporate Systems
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Senior, Infrastructure Automation Engineer
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Applies software engineering practices to automation development, including source control, code review,. Strong programming background in Python, including API…
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Senior AI Platform Operations Engineer

EQ Bank | Equitable Bank -
Toronto, ON

Quick apply

Job details

Full-time
12 days ago

Qualifications

CI/CD
Azure
Computer Science
DevOps
Engineering
Incident response
Bachelor's
Continuous improvement
ITIL
Terraform
GitHub
APIs
Kafka
Python
PowerShell
Information Technology

Full 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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Refine Your Search

senior infrastructure and itsm platform engineer jobs in mississauga, on

Senior AI Platform Operations Engineer

Cloud Platform Leader (remote in Canada only)

NOC Specialist

Senior Cloud Engineer - Terraform, Azure

Director, Global Fraud Technology - Service Reliability & Production Engineering

Sr. Observability Engineering

Senior Manager, Service Reliability

Sr. Technical Lead, Employee Onboarding

Delivery Director – Managed Services

Senior Data Analyst, Canada

Intermediate Specialist, Cloud & Infrastructure Engineering

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