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Internship Slack Software Engineer Jobs in Toronto, ON

Financeit

Data Engineer

Toronto, ON · On-site

University degree in Engineering, Math, or Computer Science * 2+ years of full-time and/or internship/PEY experience as a Data Engineer or Data Analyst * Strong hands-on SQL and ideally dbt ...

Financeit

Data Engineer

Toronto, ON

University degree in Engineering, Math, or Computer Science * 2+ years of full-time and/or internship/PEY experience as a Data Engineer or Data Analyst * Strong hands-on SQL and ideally dbt ...

Altera

IP Firmware Design Engineer

Toronto, ON

CA$91K - CA$132K/yr

... Altera's software CAD tool, Quartus Prime. The External Memory Interfaces (EMIF) team is ... Relevant experience can be obtained through schoolwork, classes, project work, internships, and/or ...

Waabi

Research Internship/Co-op

Toronto, ON

CA$45 - CA$60/hr

... software engineering experience: through previous internships, work experience, coding competitions, and/or research projects and papers. - Strong quantitative background and coursework in or working ...

Stripe

Backend Engineer, Payments

Toronto, ON · On-site +1

Minimum requirements * 2-12+ years of industry software engineering experience (does not include internships nor includes co-ops) * Strong coding skills in any programming language (we understand new ...

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Internship Slack Software Engineer information

What does an internship Slack software engineer do?

An Internship Slack Software Engineer works as a software engineering intern at Slack, contributing to the development and maintenance of Slack’s messaging platform and related features. Interns typically collaborate with experienced engineers, write and test code, debug issues, and participate in team meetings. The internship provides hands-on experience with modern technologies, exposure to best engineering practices, and opportunities to learn about Slack’s product development processes. Interns may also work on projects that improve the Slack user experience or internal tools. The role is designed to help students gain practical skills and prepare for a full-time software engineering career.

What types of projects does an internship Slack software engineer typically work on, and how are their contributions integrated with the broader engineering team?

Internship Slack Software Engineers often participate in real-world projects such as developing new features, fixing bugs, or improving internal tools that directly impact Slack’s product and user experience. Interns are paired with mentors and collaborate closely with experienced engineers through code reviews, stand-ups, and team meetings. Their work is regularly reviewed, and meaningful contributions are merged into production, ensuring interns gain hands-on experience while adding value to the team. This collaborative environment helps interns quickly learn industry best practices and build a professional network within the company.

What are the key skills and qualifications needed to thrive as an internship Slack software engineer, and why are they important?

To thrive as an Internship Slack Software Engineer, you need a solid understanding of computer science fundamentals, proficiency in programming languages like JavaScript or Python, and progress toward a relevant degree such as Computer Science. Familiarity with version control systems (e.g., Git), cloud platforms, and collaboration tools commonly used in software development is expected. Strong problem-solving abilities, effective communication, and a willingness to learn help interns stand out in this collaborative environment. These skills and qualities are essential for delivering high-quality code, efficiently contributing to team projects, and adapting to Slack’s fast-paced tech culture.

What is the difference between Internship Slack Software Engineer vs Entry-Level Slack Software Engineer?

AspectInternship Slack Software EngineerEntry-Level Slack Software Engineer
Required CredentialsTypically pursuing or recently completed a degree in Computer Science or related fieldBachelor's degree in Computer Science or related field, with some work experience or projects
Work EnvironmentPart-time or temporary, often in a mentorship setting, focused on learning and support tasksFull-time, collaborative team environment, involved in development and coding tasks
Employer & Industry UsageUsed by companies like Slack for internship programs to evaluate future hiresEntry-level position in tech companies, including Slack, for new graduates or those transitioning into software engineering

The main difference is that an Internship Slack Software Engineer is a temporary, learning-focused role often held by students or recent graduates, while an Entry-Level Slack Software Engineer is a full-time position requiring some foundational experience. Internships are designed to provide exposure and training, whereas entry-level roles involve contributing to ongoing projects and gaining professional experience.

What are popular job titles related to Internship Slack Software Engineer jobs in Toronto, ON?

For Internship Slack Software Engineer jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Internship Slack Software Engineer jobs in Toronto, ON look for?

The top searched job categories for Internship Slack Software Engineer jobs in Toronto, ON are:

Internship Slack Software Engineer jobs near you
Infographic showing various Internship Slack Software Engineer job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 8% Part Time, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution.

Cloud/AI Platform Engineer

BMO Capital Markets

Toronto, ON

CA$75K - CA$141K/yr

Full-time

Medical, Life, Retirement

Posted 4 days ago

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.

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