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Part Time Oracle Cloud Infrastructure Jobs in Toronto, ON

Senior Cloud Engineer AI

Toronto, ON · On-site

CA$75K - CA$141K/yr

... infrastructure-as-code, and automation to accelerate AI/ML adoption Implement observability ... Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For ...

Tech Lead, AI Engineering

Toronto, ON · Hybrid

CA$75K - CA$141K/yr

Applies deep expertise in cloud-native AI architectures, large language models, vector databases ... Maintains AI applications and infrastructure to ensure scalability, performance, and reliability

Associate, Data Engineer

Toronto, ON · On-site

CA$90K - CA$120K/yr

Deploy data infrastructure and distributed computing environments in the cloud using ... Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For ...

Part Time Oracle Cloud Infrastructure information

What is a part time Oracle Cloud Infrastructure job?

Part time Oracle Cloud Infrastructure (OCI) jobs involve working with Oracle's suite of cloud services on a reduced-hour basis, typically less than 40 hours a week. These roles can include responsibilities such as managing cloud environments, configuring resources, monitoring performance, and ensuring security within Oracle's cloud platform. Part time positions are ideal for those seeking flexible schedules, including students, freelancers, or professionals with other commitments. Common job titles might include OCI Administrator, Cloud Engineer, or Support Specialist, and work can often be performed remotely or on-site, depending on the employer. Experience with Oracle Cloud services and certifications can greatly enhance job prospects in this field.

How does a part time Oracle Cloud Infrastructure specialist typically collaborate with full-time team members and ensure continuity in ongoing projects?

Part-time Oracle Cloud Infrastructure specialists often work closely with full-time engineers, project managers, and IT stakeholders to maintain seamless communication and project progress. They may attend regular team meetings (virtually or in-person), document their work thoroughly, and use collaboration tools like Jira or Slack to update others on tasks and issues. This approach ensures that even with limited hours, key responsibilities such as system monitoring, troubleshooting, and configuration are handled efficiently and nothing falls through the cracks. Proactive communication and clear documentation are vital for maintaining project continuity in a part-time capacity.

What are the key skills and qualifications needed to thrive as a part time Oracle Cloud Infrastructure specialist, and why are they important?

To thrive as a Part Time Oracle Cloud Infrastructure specialist, you need a solid understanding of cloud computing concepts, Oracle Cloud Infrastructure (OCI) services, and relevant IT fundamentals, often supported by a degree in computer science or certifications like Oracle Cloud Infrastructure Foundations. Familiarity with cloud management tools, scripting languages (such as Python or Bash), and experience with OCI-specific platforms are typically required. Strong problem-solving, analytical thinking, and effective communication skills help you address technical challenges and collaborate with teams or clients. These skills and qualities are crucial for ensuring the secure, efficient, and reliable deployment and management of cloud resources in a dynamic work environment.

What is the difference between Part Time Oracle Cloud Infrastructure vs Part Time Cloud Support Engineer?

AspectPart Time Oracle Cloud InfrastructurePart Time Cloud Support Engineer
CertificationsOracle Cloud certifications, such as OCI Architect AssociateCloud platform certifications (AWS, Azure, or Oracle), support-specific certifications
Work EnvironmentData centers, cloud environments, remote supportCustomer support centers, remote troubleshooting, cloud environments
Industry UsagePrimarily in cloud service providers, enterprise ITIT service providers, cloud service companies, enterprise support teams

Part Time Oracle Cloud Infrastructure roles focus on managing and deploying Oracle cloud services, requiring specific OCI certifications. In contrast, Part Time Cloud Support Engineers provide technical support across various cloud platforms, often needing broader support certifications. Both roles operate in cloud environments but differ in their primary responsibilities and certification requirements.

What are the most commonly searched types of Oracle Cloud Infrastructure jobs in Toronto, ON?

The most popular types of Oracle Cloud Infrastructure jobs in Toronto, ON are:

What are popular job titles related to Part Time Oracle Cloud Infrastructure jobs in Toronto, ON?

For Part Time Oracle Cloud Infrastructure jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Part Time Oracle Cloud Infrastructure jobs in Toronto, ON look for?

The top searched job categories for Part Time Oracle Cloud Infrastructure jobs in Toronto, ON are:

Infographic showing various Part Time Oracle Cloud Infrastructure job openings in Toronto, ON as of August 2026, with employment types broken down into 90% Full Time, 6% Part Time, and 4% Contract. Highlights an 82% Physical, 8% Hybrid, and 10% Remote job distribution.

Senior Cloud Engineer AI

BMO Capital Markets

Toronto, ON • On-site

CA$75K - CA$141K/yr

Full-time, Part-time

Medical, Life, Retirement

Re-posted 23 days ago


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.