Cloud/AI Platform Engineer
CA$75K - CA$141K/yr
New Graduate / Entry Level About the Role Are you looking to make your mark in AI? Are you an AI ... This role is ideal for recent university graduates who are excited about cloud computing ...
Cloud/AI Platform Engineer
CA$75K - CA$141K/yr
New Graduate / Entry Level About the Role Are you looking to make your mark in AI? Are you an AI ... This role is ideal for recent university graduates who are excited about cloud computing ...
Cloud/AI Platform Engineer
CA$75K - CA$141K/yr
New Graduate / Entry Level About the Role Are you looking to make your mark in AI? Are you an AI ... This role is ideal for recent university graduates who are excited about cloud computing ...
Cloud/AI Platform Engineer
CA$75K - CA$141K/yr
New Graduate / Entry Level About the Role Are you looking to make your mark in AI? Are you an AI ... This role is ideal for recent university graduates who are excited about cloud computing ...
Director, Support
Waterloo, ON · On-site +1
CA$85K - CA$104K/yr
... or Cloud Computing is highly valued. * Internship, co-op, or capstone project experience involving databases or backend systems is an asset but not required. Work Experience (Entry-Level Friendly ...
Director, Support
Waterloo, ON · On-site +1
CA$85K - CA$104K/yr
... or Cloud Computing is highly valued. * Internship, co-op, or capstone project experience involving databases or backend systems is an asset but not required. Work Experience (Entry-Level Friendly ...
Enhance continuous integration pipelines for deploying and testing Canonical's cloud native ... Seniority level * Seniority level Entry level Employment type * Employment type Full-time Job ...
Enhance continuous integration pipelines for deploying and testing Canonical's cloud native ... Seniority level * Seniority level Entry level Employment type * Employment type Full-time Job ...
Entry Level Cloud Computing information
What is an entry level cloud computing?
An entry-level cloud computing job involves working with cloud technologies to manage, deploy, and troubleshoot cloud-based applications and infrastructure. Common roles include Cloud Support Associate, Junior Cloud Engineer, and Cloud Administrator. Responsibilities often include configuring cloud services, monitoring performance, and ensuring security compliance. Employers typically look for knowledge of platforms like AWS, Azure, or Google Cloud and familiarity with networking, operating systems, and scripting languages. Certifications such as AWS Certified Cloud Practitioner or Microsoft Azure Fundamentals can help candidates stand out.
What types of projects or tasks are typically assigned to entry level cloud computing professionals?
Entry level cloud computing professionals usually support team members by assisting with cloud infrastructure setup, managing resources, monitoring system performance, and troubleshooting basic issues. They may help automate routine tasks, maintain documentation, and collaborate with developers or IT staff on deployments and updates. Projects often involve learning company-specific systems and best practices, working with cloud management consoles, and gaining hands-on experience with different cloud services. This role offers a great opportunity to build foundational skills while contributing to real business needs and learning directly from experienced cloud engineers.
What are the key skills and qualifications needed to thrive in entry level cloud computing, and why are they important?
To thrive in an Entry Level Cloud Computing role, a foundational understanding of cloud platforms (such as AWS, Azure, or Google Cloud), networking basics, and some programming or scripting knowledge is essential—often supported by a degree in computer science or a related field. Familiarity with tools like Amazon EC2, Kubernetes, and entry-level certifications such as AWS Certified Cloud Practitioner or Microsoft Azure Fundamentals is highly valued. Strong problem-solving skills, eagerness to learn, effective communication, and teamwork enable individuals to excel in collaborative and dynamic environments. These skills are important because they allow employees to adapt to evolving cloud technologies while delivering reliable, scalable solutions in real-world business settings.
What are the most commonly searched types of Cloud Computing jobs in Ontario?
The most popular types of Cloud Computing jobs in Ontario are:
What are popular job titles related to Entry Level Cloud Computing jobs in Ontario?
For Entry Level Cloud Computing jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Entry Level Cloud Computing jobs in Ontario look for?
The top searched job categories for Entry Level Cloud Computing jobs in Ontario are:
What cities in Ontario are hiring for Entry Level Cloud Computing jobs?
Cities in Ontario with the most Entry Level Cloud Computing job openings:
CA$75K - CA$141K/yr
Full-time
Medical, Life, Retirement
Posted 12 days ago
Job description
Application Deadline:
Address:
4100 Gordon Baker RoadJob Family Group:
AI Platform Engineer (New Graduate)
Location: Toronto, ON (Hybrid)
Job Type: Full-Time
Experience Level: New Graduate / Entry Level
Are you looking to make your mark in AI? Are you an AI thought leader?
We are seeking a passionate and curious AI Platform Engineer (New Graduate) to help build, operate, and scale the next generation of AI infrastructure and platforms. This role is ideal for recent university graduates who are excited about cloud computing, artificial intelligence, machine learning platforms, developer tools, and large-scale distributed systems.
It's an opportunity that can make you an AI leader at BMO.
As an AI Platform Engineer, you will work with experienced engineers and data scientists to create reliable, secure, and scalable platforms that enable AI applications and machine learning workloads across the organization.
This is an opportunity to learn from industry experts while contributing to cutting-edge AI solutions that drive real business impact.
What You'll Do- Build and maintain cloud-native platform services that support AI and machine learning workloads.
- Design and implement automation solutions using Infrastructure as Code (IaC).
- Develop tools, APIs, and services that improve developer productivity and platform reliability.
- Assist in deploying, monitoring, and scaling AI models and machine learning pipelines.
- Collaborate with software engineers, data scientists, and product teams to operationalize AI solutions.
- Monitor platform health and troubleshoot performance, reliability, and scalability issues.
- Contribute to CI/CD pipelines and DevOps practices for AI and platform engineering teams.
- Participate in system design discussions and code reviews.
- Learn and apply best practices around security, observability, governance, and cloud architecture.
- Bachelor's or Master's degree in Computer Science, Software Engineering, Computer Engineering, Data Science, or a related technical field completed within the last 12 months.
- Strong programming skills in one or more languages such as:
- Python
- Go
- Java
- C#
- Understanding of software engineering fundamentals, including:
- Data structures and algorithms
- Object-oriented design
- REST APIs
- Version control (Git)
- Familiarity with Linux operating systems and scripting.
- Knowledge of cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform.
- Strong problem-solving and analytical skills.
- Excellent communication and collaboration abilities.
- Exposure to machine learning, generative AI, or large language models through coursework, projects, or internships.
- Experience with containers and orchestration technologies such as Docker and Kubernetes.
- Familiarity with MLOps concepts and tools.
- Understanding of CI/CD practices and automation.
- Experience with infrastructure-as-code tools such as Terraform.
- Contributions to open-source projects, hackathons, research, or personal technical projects.
- AI platform architecture and operations at scale.
- Cloud-native application design and deployment.
- MLOps, LLMOps, and AI governance best practices.
- Platform engineering and site reliability engineering principles.
- Secure software development and enterprise cloud operations.
We're looking for individuals who:
- Are naturally curious and eager to learn.
- Enjoy solving challenging technical problems.
- Thrive in collaborative environments.
- Take ownership of their work and seek continuous improvement.
- Are excited about the future of AI and cloud technologies.
- Critical Thinking
- Building and managing relationships.
- Adaptability.
- Verbal & written communication skills.
- Collaboration & team skills.
- Analytical and problem solving skills.
- Data driven decision making.
Nice-to-Have Technical Skills
- Azure AI Services, Azure Machine Learning, or Azure Kubernetes Service (AKS)
- Kubernetes, Docker, Helm
- Terraform or Bicep
- GitHub Actions or Azure DevOps
- Prometheus, Grafana, OpenTelemetry
- PostgreSQL, Redis, or NoSQL databases
- LangChain, Semantic Kernel, or other AI frameworks
- Retrieval-Augmented Generation (RAG) concepts
Salary:
Pay Type:
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.