Mississauga, On Aws cloud support Jobs – 56 Openings This Week

Senior Cloud Engineer AI
BMO Financial Group —Toronto, ON
- $75,900–$141,900 a year
- Full-time
- Azure
- Databases
- AWS
- Tuition reimbursement
- Life insurance
DevOps Engineer, Cloud Infrastructure & Live Games
Big Viking Games —Toronto, ON
- $95,000–$115,000 a year
- Full-time
- Hybrid work
- DevOps
- AWS
- APIs
- Dental care
- Paid time off
Quick apply
14d
DevOps Cloud Engineer
NASDAQ —Toronto, ON
- $86,000–$118,000 a year
- Full-time
- Computer Science
- DevOps
- Engineering
Sr DevSecOps Cloud Specialist
LTM —Mississauga, ON
- $90,000–$110,000 a year
- On call
- Azure
- DevOps
- English
- Disability insurance
- Dental care
Quick apply
DevOps Engineer, Cloud Platform
Upstart —Toronto, ON
- $142,000–$196,600 a year
- On call
- Remote
- Computer Science
- DevOps
- Engineering
- Employee stock purchase plan
- Designated paid holidays
Staff Cloud Operations Engineer (Toronto, Canada)
Extreme Networks —Toronto, ON
- Full-time
- Hybrid work
- Computer science
- Azure
- Computer Science
Quick apply
AWS Engineer
BMO Financial Group —Toronto, ON
- $75,900–$141,900 a year
- Full-time
- DevOps
- AWS
- Analysis skills
- Tuition reimbursement
- Life insurance
Analyst, Cloud Platform and Services
First Canadian Title Company Limited —Oakville, ON
- $97,200–$118,800 a year
- Full-time
- Azure
- Windows
- AWS
- Employee stock purchase plan
- Designated paid holidays
Quick apply
Sr. Cloud Engineer
McKesson —Mississauga, ON
- $99,100–$132,100 a year
- Computer Science
- DevOps
- AWS
Cloud Infrastructure Engineer
Element Fleet Management —Toronto, ON
- $99,200–$136,400 a year
- Full-time
- Computer Science
- DevOps
- Engineering
- Tuition reimbursement
15h
Azure Cloud Engineering Team Lead
MUFG Investor Services —Toronto, ON
- $89,250–$130,900 a year
- Full-time
- Azure
- Computer Science
- DevOps
Quick apply
Analyst, Cloud Platform and Services
FCT —Oakville, ON
- $97,200–$118,800 a year
- Full-time
- Azure
- Windows
- AWS
- Employee stock purchase plan
- Paid time off
Cloud Infrastructure Engineer
Cerebras Systems —Toronto, ON
- Full-time
- Azure
- AWS
- In-person
8d
Platform Services & Cloud Engineering, Senior Specialist
Interac Corp. —Toronto, ON
- $110,000–$130,000 a year
- Full-time
- Hybrid work
- Computer Science
- DevOps
- Engineering
Cloud Platform DevOps Engineer - Assistant Vice President
Citi —Mississauga, ON
- $94,300–$141,500 a year
- Full-time
- Hybrid work
- Azure
- Oracle
- Computer Science
Staff Cloud Software Engineer
AeroVect —Toronto, ON
- Full-time
- Remote
- Computer Science
- Master's degree
- AWS
DevOps & Security Engineer
Reflow —Toronto, ON
- Full-time
- Remote
- Azure
- DevOps
- AWS
Quick apply
Cloud Engineer
GPL Technologies —Toronto, ON
- Full-time
- Remote
- English
- AWS
- Scripting
Quick apply
Cloud Engineer
Lucrodyne —Toronto, ON
- On call
- Hybrid work
- Azure
- Computer Science
- DevOps
Cloud Platform Engineer
Maple Leaf Sports & Entertainment Partnership —Toronto, ON
- Full-time
- Azure
- DevOps
- AWS
12d

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aws cloud support jobs near mississauga, on

Senior Cloud Engineer AI

BMO Financial Group -
Toronto, ON

Apply Now

Job details

Full-time
$75,900–$141,900 a year

Qualifications

Authentication
Azure
Cloud architecture
Law
Enterprise architecture
Databases
AWS
Terraform
Agile
Financial services
AI
Model evaluation
Python

Full job description

Application Deadline:

08/30/2026

Address:

33 Dundas Street West

Job Family Group:

Technology

Senior Cloud Engineer – ML/AI Platform

We are seeking a Senior Cloud Engineer with deep expertise in AWS and Azure AI/ML services to drive our enterprise ML/AI platform capabilities. You will evaluate and enable cloud AI/ML services, build reusable architectural patterns, and develop automated MLOps solutions in a highly regulated banking environment. This role requires hands-on experience with modern AI/ML platforms and the ability to design secure, compliant solutions that accelerate AI adoption across the organization.

What You Will Do

Evaluate and enable AWS and Azure AI/ML services (SageMaker, Bedrock, Azure OpenAI, Azure AI Foundry) through proof-of-concepts and comprehensive assessments

Design and implement reusable architectural patterns for secure AI/ML integrations including private endpoints, customer-managed keys, and service-to-service authentication

Build end-to-end MLOps platforms and automated ML pipelines for model training, evaluation, deployment, and monitoring

Produce technical reports on security, networking, compliance, guardrails, and cost analysis for AI/ML service enablement

Develop frameworks, infrastructure-as-code, and automation to accelerate AI/ML adoption

Implement observability solutions with model monitoring, metrics, and drift detection

Partner with Enterprise Architecture and senior stakeholders to align platform capabilities with strategic roadmaps

Provide technical leadership and mentorship on AI/ML cloud best practices

What You Need to Succeed

Must Have

5-7 years of cloud engineering experience with 3+ years focused on AI/ML platforms

Deep hands-on expertise with AWS AI/ML services: SageMaker (training, pipelines, inference, JumpStart), Bedrock

Deep hands-on expertise with Azure AI/ML services: Azure Machine Learning, Azure OpenAI, Azure AI Foundry

Experience building MLOps platforms and automated ML pipelines

Strong knowledge of LLMOps, LLM lifecycle management, agentic AI, RAG (retrieval-augmented generation), and prompt engineering

Experience implementing guardrails and governance for LLM services

Proficiency in Python and infrastructure-as-code (Terraform, CloudFormation, ARM/Bicep)

Experience with MLflow(or similar tool), experiment tracking, and model registries

Expertise in cloud security patterns including private endpoints, customer-managed keys, and network isolation for AI/ML services

Strong understanding of cloud networking architecture in regulated environments

Experience working in highly regulated industries with compliance requirements

Agile delivery experience

Nice to Have

AWS or Azure AI/ML certifications

Experience with vector databases and embedding models

Knowledge of model optimization and inference acceleration

Background in financial services or banking

Salary :

$75,900.00 - $141,900.00

Pay Type:

Salaried

The above represents BMO Financial Group’s pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

To find out more visit us at https://jobs.bmo.com/ca/en .

BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

Apply Now

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aws cloud support jobs in mississauga, on

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