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 ... Knowledge of cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform. * Strong ...
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 ... Knowledge of cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform. * Strong ...
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 ... Knowledge of cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform. * Strong ...
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 ... Knowledge of cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform. * Strong ...
This is an entry-level, supervised role: the successful candidate will work from defined ... Learn modern data stack tooling hands-on; dbt, SQL, Microsoft Fabric, Apache Airflow, and Azure ...
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Microsoft Azure: App Services, Key Vault basics. * DevOps & CI/CD: Basic knowledge of Git, Jenkins, GitHub Actions. * Security: Awareness of SSL/TLS, OAuth2, JWT. * Databases: SQL (PostgreSQL, Azure ...
Microsoft Azure: App Services, Key Vault basics. * DevOps & CI/CD: Basic knowledge of Git, Jenkins, GitHub Actions. * Security: Awareness of SSL/TLS, OAuth2, JWT. * Databases: SQL (PostgreSQL, Azure ...
Analyst/Consultant, OpenText VIM Specialist
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Analyst/Consultant, OpenText VIM Specialist
Toronto, ON · On-site
CA$58K - CA$102K/yr
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IT Support Specialist
Kanata, ON · On-site
CA$65K - CA$70K/yr
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This entry-level, cross-functional role provides an opportunity to develop skills in stakeholder ... Microsoft Azure AI, Anthropic Claude, and OpenAI GPT, using established evaluation criteria and ...
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This entry-level, cross-functional role provides an opportunity to develop skills in stakeholder ... Microsoft Azure AI, Anthropic Claude, and OpenAI GPT, using established evaluation criteria and ...
Quick apply
This entry-level, cross-functional role provides an opportunity to develop skills in stakeholder ... Microsoft Azure AI, Anthropic Claude, and OpenAI GPT, using established evaluation criteria and ...
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Entry Level Azure information
What is an entry level Azure professional?
Entry level Azure jobs are positions that require basic knowledge and skills in Microsoft Azure, typically aimed at individuals who are new to cloud computing or just starting their careers. These roles often include titles like Azure Cloud Support Associate, Junior Cloud Engineer, or Azure Administrator. Responsibilities may involve assisting with cloud migrations, managing Azure resources, monitoring cloud infrastructure, and troubleshooting basic issues. Employers usually look for candidates with foundational Azure certifications such as the Microsoft Certified: Azure Fundamentals (AZ-900). These positions provide valuable hands-on experience and a pathway to more advanced cloud roles.
What types of projects and tasks can I expect to work on as an entry level Azure professional?
As an Entry Level Azure professional, you will typically assist with deploying and managing cloud resources, monitoring system performance, and troubleshooting basic issues within Microsoft Azure environments. You may also support migration projects, help configure security settings, and provide routine maintenance of virtual machines and storage solutions. Collaboration with more experienced engineers and IT teams is common, offering a valuable learning environment where you can build foundational cloud skills and grow into more advanced responsibilities over time.
What are the key skills and qualifications needed to thrive as an entry level Azure professional, and why are they important?
To thrive as an Entry Level Azure professional, you need a basic understanding of cloud computing concepts, networking, and familiarity with the Microsoft Azure platform, often supported by a relevant degree or Azure Fundamentals certification (AZ-900). Experience with Azure Portal, Azure CLI, and resource management tools is commonly required. Strong problem-solving skills, willingness to learn, and effective communication help you adapt and collaborate in cloud-focused teams. These skills and qualities ensure you can efficiently support cloud deployments and contribute to organizational digital transformation initiatives.
What is the difference between Entry Level Azure vs Entry Level Cloud Support Engineer?
| Aspect | Entry Level Azure | Entry Level Cloud Support Engineer |
|---|---|---|
| Certifications | Azure Fundamentals (AZ-900), basic cloud knowledge | Cloud certifications (e.g., AWS, Azure fundamentals), basic troubleshooting skills |
| Work Environment | Primarily Microsoft Azure cloud platform, enterprise environments | Various cloud platforms, including Azure, AWS, or GCP, in support roles |
| Industry Usage | IT, cloud services, enterprise solutions | IT support, cloud service providers, tech companies |
| Search & Comparison Intent | Understanding entry-level Azure roles | Comparing entry-level cloud support roles |
Entry Level Azure focuses on basic knowledge of Microsoft Azure services and certifications, suitable for roles working directly with Azure cloud solutions. Entry Level Cloud Support Engineer covers a broader support role across multiple cloud platforms, including Azure, emphasizing troubleshooting and customer support skills. Both roles are ideal for beginners but differ in platform specialization and scope.
How to start a career in Entry Level Azure?
To start a career as an Entry Level Azure professional, gain foundational knowledge of cloud computing and Microsoft Azure services through online courses or certifications like Microsoft Certified: Azure Fundamentals. Develop skills in scripting, networking, and security, and gain hands-on experience with Azure portals and tools to build practical understanding.
What are some entry level jobs at Microsoft?
Entry level jobs at Microsoft for roles like Azure support engineer, cloud operations associate, or technical support specialist typically require basic knowledge of cloud services, scripting, and certifications such as Microsoft Certified: Azure Fundamentals. These positions often involve assisting with cloud deployments, troubleshooting, and customer support, and may offer training programs for new graduates or those new to cloud technology.
What are the most commonly searched types of Azure jobs in Ontario?
The most popular types of Azure jobs in Ontario are:
What are popular job titles related to Entry Level Azure jobs in Ontario?
For Entry Level Azure jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Entry Level Azure jobs in Ontario look for?
The top searched job categories for Entry Level Azure jobs in Ontario are:
Cloud/AI Platform Engineer
Toronto, ON
BMO Capital Markets
CA$75K - CA$141K/yr
Full-time
Medical, Life, Retirement
Posted 7 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.