Toronto, On Cloud engineer azure Jobs – 828 Openings This Week

AI/ML Platform Engineer
Confidential —Toronto, ON
- $70–$80 an hour
- Contract
- Azure
- DevOps
- Research
Quick apply
14d
Azure Cloud Engineer – IAM, AZURE, CyberArk, Active Directory, Okta, SSO, MFA
APPTOZA INC. —Mississauga, ON
- $60–$65 an hour
- Hybrid work
- Azure
- DevOps
Quick apply
3d
Verafin Developer / Integration Engineer
Allevar —Toronto, ON
- $90–$95 an hour
- Hybrid work
- Azure
- Java
- SQL
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Data Engineer
Tactable —Toronto, ON
- $140,000–$190,000 a year
- Full-time
- Hybrid work
- Azure
- English
- SQL
- Dental care
- Paid time off
Quick apply
6d
Software Engineer (QA)
QMC Metering Solutions —North York, ON
- $75,000–$95,000 a year
- Full-time
- Hybrid work
- Azure
- Java
- Databases
- Wellness program
- Commuter benefits
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Specialist - Data Engineering
LTM —Mississauga, ON
- $87,896–$93,824 a year
- Azure
- DevOps
- SQL
- Disability insurance
- Dental care
Quick apply
AI Engineer Intelligent Systems & Analytics
QMC Metering Solutions —North York, ON
- Full-time
- Hybrid work
- Azure
- Computer Science
- DevOps
- Wellness program
- Commuter benefits
Quick apply
Tech Lead
Tactable —Toronto, ON
- $150,000–$190,000 a year
- Full-time
- Hybrid work
- Azure
- English
- AWS
- Dental care
- Paid time off
Quick apply
Staff Software Engineer
Capital One - CA —Toronto, ON
- Full-time
- Hybrid work
- Azure
- Computer Science
- Engineering
Senior Cloud Engineer AI
BMO Financial Group —Toronto, ON
- $75,900–$141,900 a year
- Azure
- Databases
- AWS
- Tuition reimbursement
- Life insurance
Distinguished Engineer
Capital One - CA —Toronto, ON
- Full-time
- Hybrid work
- Azure
- Computer Science
- Java
Principal Data Engineer
Tangerine Bank —Toronto, ON
- Azure
- DevOps
- AWS
Senior Staff Software Engineer - International Card Tech - Full-stack
Capital One - CA —Toronto, ON
- Full-time
- Hybrid work
- Azure
- Computer Science
- Engineering
Staff Software Engineer - Capital One Travel Tech - Backend
Capital One - CA —Toronto, ON
- Full-time
- Hybrid work
- Azure
- Computer Science
- Engineering
Senior Staff Software Engineer
Capital One - CA —Toronto, ON
- Full-time
- Hybrid work
- Azure
- Computer Science
- Engineering
Senior Staff Software Engineer
Capital One - CA —Toronto, ON
- Full-time
- Hybrid work
- Azure
- Computer Science
- Engineering
Distinguished Engineer
Capital One - CA —Toronto, ON
- Full-time
- Hybrid work
- Azure
- Computer Science
- Java
Staff Software Engineer
Capital One - CA —Toronto, ON
- Full-time
- Hybrid work
- Azure
- Computer Science
- Engineering
Senior Software Engineer
Tactable —Toronto, ON
- $140,000–$190,000 a year
- Full-time
- Hybrid work
- Azure
- English
- Java
- Disability insurance
- Dental care
Quick apply
6d
Senior Cloud Engineer AI
BMO Financial Group —Toronto, ON
- $75,900–$141,900 a year
- Full-time
- Azure
- Databases
- AWS
- Tuition reimbursement
- Life insurance

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cloud engineer azure jobs near toronto, on

AI/ML Platform Engineer

Confidential -
Toronto, ON

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Job details

Contract
$70–$80 an hour
14 days ago

Qualifications

CI/CD
Authentication
Cloud infrastructure
Azure
DevOps
Disaster recovery
PaaS
Git
Research
PKI
Analysis skills
Terraform
SDKs
DNS
GitHub
APIs
Model training
AI
Python

Full job description

Position: AI/ML Platform Engineer
Location: Toronto, ON, Canada
Duration: Contract-to-Hire

Job Description:

We are seeking a skilled professional to deliver enterprise data services, capabilities, and solutions on Azure. The ideal candidate will have prior experience with AI and cloud technologies, specifically within the financial services sector, and an understanding of the associated security and regulatory requirements. This role focuses on Azure AI and related services.
You will collaborate with cloud engineering, network, security, and risk management teams to deliver secure Azure AI solutions that adhere to company security policies and standards. Additionally, you will work with developers in our Azure engineering team and various business units to implement and continuously improve frameworks and tools that support the automation of AI services.

Roles and Responsibilities:

Passionate about deep learning and natural language models
Adopt an AIOps/MLOps mindset, enabling services and developing pipelines for managing training and production models
Collaborate with internal application development teams to leverage AI services to address business objectives
Understand security, risks, and mitigations to securely load data and training models into the Cloud
Possess programming skills with experience in API and Webhook development using Python, Git Actions, and Terraform
Write and use Azure Resource Manager (ARM) and Terraform templates
Understand Azure security features, including data protection, authentication, and RBAC
Comprehend Public Key Infrastructure (PKI) and manage public and private key certificates in the Azure environment for PaaS services and applications
Ability to troubleshoot Azure, DNS, Azure connectivity, NSG, and routing issues
Proficiency in cloud automation using native Azure CLI
Understand concepts related to deploying platform and data analytics via CI/CD pipelines
Ensure all cloud solutions comply with internally defined security and compliance controls
Develop and consume APIs, SDKs, and Webhooks for multi-directional integration of cloud orchestration platforms with enterprise systems, DevOps tools, and cloud platforms
Participate in fast-paced DevOps engineering teams within Scrum agile processes
Exhibit critical thinking with strong research and analytical skills
Self-motivated with a positive attitude and an ability to work independently and within a team

Required Skills:

2 years of experience as an AI and cloud platform engineer
2 years of experience developing platform orchestration code using Azure Python SDK, Terraform, and GitHub Runners
Strong expertise in delivering Cloud Infrastructure as Code (IaC) leveraging CI/CD pipelines, Terraform, and Git Actions
Demonstrated knowledge of cloud provisioning and administration, cloud bursting, cloud interoperability, cloud disaster recovery, and business continuity strategies, as well as performance measurement and monitoring in the cloud
Must be a self-starter with the demonstrated ability to take independent action to achieve results
Highly developed critical thinking, analytical, and problem-solving skills

Pay: $70.00-$80.00 per hour

Experience:

AI and Cloud Platform Engineer: 2 years (preferred)
Azure Python SDK: 2 years (preferred)
Terraform: 2 years (preferred)
GitHub Runners: 2 years (preferred)
Cloud Infrastructure as Code (IaC) leveraging CI/CD: 2 years (preferred)
Cloud Bursting, Cloud Interoperability: 2 years (preferred)
Cloud Disaster Recovery: 2 years (preferred)

Work Location: In person

Quick apply

Refine Your Search

cloud engineer azure jobs in toronto, on

AI/ML Platform Engineer

Azure Cloud Engineer – IAM, AZURE, CyberArk, Active Directory, Okta, SSO, MFA

Verafin Developer / Integration Engineer

Data Engineer

Software Engineer (QA)

Specialist - Data Engineering

AI Engineer Intelligent Systems & Analytics

Tech Lead

Staff Software Engineer

Senior Cloud Engineer AI

Distinguished Engineer

Principal Data Engineer

Senior Staff Software Engineer - International Card Tech - Full-stack

Staff Software Engineer - Capital One Travel Tech - Backend

Senior Staff Software Engineer

Senior Staff Software Engineer

Distinguished Engineer

Staff Software Engineer

Senior Software Engineer

Senior Cloud Engineer AI

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