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Entry Level Devops Engineer Jobs in Milton, ON (NOW HIRING)

This individual may also delegate basic and fundamental tasks to entry-level engineers and designers.  Responsibilities * Works under the direction of a more experienced engineer to execute design ...

Collaborate with cross-functional teams including frontend, DevOps, and QA to deliver high-quality features. * Work with cloud platforms (e.g., AWS, Azure, GCP) to deploy and manage backend services.

Capable of applying best DevOps practices to develop Infrastructure/Platform as Code using Saltstack/Terraform/Ansible * Fluent in writing effective and scalable Python code * Experience in ...

You'll work closely with architecture, DevOps, business, and analytics teams to deliver systems that meet enterprise-grade standards for performance, observability, security, and maintainability.

Experience in Azure DevOps pipelines and CI/CD. * Experience with supporting and troubleshooting applications using industry standard technologies such as Grafana, Prometheus, Elastic and Splunk.

Work closely with software and DevOps engineers to deploy GenAI models. * Document code, algorithms, and experimental results, following best practices for reproducibility, version control, and ...

Showing results 41-60

Entry Level Devops Engineer information

See Milton, ON salary details

$10.4K

$72.9K

$94.6K

How much do entry level devops engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for entry level devops engineer in Milton, ON is $72,929.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,600.00 and $75,697.00 per year, depending on experience, location, and employer.

What is an entry level DevOps engineer?

Entry Level DevOps Engineers are professionals who support the development and operations teams in automating, deploying, and maintaining software applications. They typically assist with building CI/CD pipelines, monitoring systems, configuring cloud infrastructure, and troubleshooting issues. At this stage, they are expected to have foundational knowledge of programming, system administration, and popular DevOps tools, but are still building experience and expertise. Their role is crucial in ensuring smooth collaboration between development and IT operations, helping organizations deliver software efficiently and reliably.

What does an entry level DevOps engineer do?

The duties of an entry-level DevOps engineer involve taking steps to integrate all aspects of software design, development, and updates into one managed system. DevOps utilizes IT operations to shorten the systems development lifecycle of an application. The responsibilities of an entry-level DevOps engineer often include working as part of a team to merge coding, test products, and plan updates. As in any software role, it is essential to ensure configuration parameters and network requirements are met. The goal of someone in this position is to speed development and updates while limiting bugs and incompatibility issues.

What are the key skills and qualifications needed to thrive as an entry level DevOps engineer?

To thrive as an Entry Level DevOps Engineer, you need a solid understanding of software development, basic scripting (such as Python or Bash), and familiarity with Linux systems, often supported by a degree in computer science or related field. Experience with CI/CD tools (like Jenkins or GitLab), cloud platforms (AWS, Azure, or GCP), and version control systems (such as Git) is typically required, and certifications like AWS Certified Cloud Practitioner can be advantageous. Strong problem-solving abilities, collaboration, and a willingness to learn are important soft skills for success in this role. These skills and qualities are essential to streamline software delivery, ensure reliable system operations, and adapt to the evolving needs of modern IT environments.

What are some common challenges faced by entry level DevOps engineers during their first year, and how can they best overcome them?

Entry level DevOps engineers often encounter challenges such as adapting to a fast-paced environment, learning a variety of tools (like CI/CD pipelines, containerization, and cloud services), and troubleshooting issues across development and operations. It's common to feel overwhelmed by the breadth of technologies and the need for effective communication between teams. To overcome these challenges, new DevOps engineers should focus on continuous learning, actively seek mentorship from experienced colleagues, and take initiative in documenting processes. Collaborating closely with both developers and system administrators will also help build a holistic understanding of the workflow.

What cities near Milton, ON are hiring for Entry Level Devops Engineer jobs?

Cities near Milton, ON with the most Entry Level Devops Engineer job openings:

CA$75K - CA$141K/yr

Full-time

Medical, Life, Retirement

Posted 3 days ago

New


Job description

Application Deadline:

08/29/2026

Address:

4100 Gordon Baker Road

Job Family Group:

Technology
AI Platform Engineer (New Graduate)

Location: Toronto, ON (Hybrid)
Job Type: Full-Time
Experience Level: New Graduate / Entry Level

About the Role

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.
QualificationsRequired
  • 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.
Preferred
  • 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.
What You'll Learn
  • 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.
What We're Looking For

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:

$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.