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Platform Engineering Manager Jobs in Toronto, ON

Pigment

Engineering Manager

Toronto, ON · On-site +1

The AI Platform Redefining Business Planning Pigment is the AI-powered business planning and ... We are looking for an Engineering Manager based in our Toronto office who will play a key role in ...

Bmo

Cloud/AI Platform Engineer

Toronto, ON · On-site

CA$70K - CA$150K/yr

Understanding of software engineering fundamentals, including: * Data structures and algorithms ... Building and managing relationships. * Adaptability. * Verbal & written communication skills.

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Engineering Manager, Data AI & Analytics

Toronto, ON · Hybrid

CA$102K - CA$137K/yr

Reporting to the Director of Platform Engineering, Data AI & Analytics, the Data Engineer Manager leads and develops a team of Data Engineers while remaining hands-on in the delivery of scalable ...

Upshop

Engineering Manager

Mississauga, ON · On-site

Its unified platform simplifies and enhances associate tasks, promoting smarter and more ... The Engineering Manager balances people leadership with technical oversight and selective hands-on ...

Royal Bank of Canada

Engineering Manager

Toronto, ON · On-site +1

WHAT IS THE OPPORTUNITY? We're seeking an Engineering Manager to lead and mentor a team of 5-8 full ... Canada Work hours/week: 37.5 Employment Type: Full time Platform: TECHNOLOGY AND OPERATIONS Job ...

Guidepoint

Principal Platform Engineer

Toronto, ON

Experience managing multi-cluster Kubernetes environments. * Experience with service meshes such as Istio or Kong * Experience building large-scale self-service engineering platforms. * Contributions ...

GFL Environmental

Senior Platform Engineer

Vaughan, ON · On-site

Our mission is to build and maintain a platform framework where developers can focus purely on writing code, knowing our team handles the complexity of deploying and managing their environments. As ...

Tali AI

Engineering Manager

Toronto, ON · On-site

... on one platform that allows clinicians to look at their patients instead of their keyboards ... The role We're hiring an Engineering Manager who reports to the VP of Engineering. You'll own ...

Air-tek

Sr Platform Engineer

Toronto, ON

CA$150K - CA$180K/yr

About the Team The Platform Engineering team is a highly collaborative group of software engineers ... Work with cloud technologies (AWS) to deploy and manage Air-tek's services. * Develop automation ...

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Showing results 21-40

All JobsPlatform Engineering JobsPlatform Engineering Manager JobsPlatform Engineering Manager Jobs in Toronto, ON

Platform Engineering Manager information

What is a platform engineering manager?

Platform Engineering Managers are technology leaders responsible for overseeing teams that build and maintain the foundational systems and infrastructure used by software development and operations teams. They ensure that platforms are scalable, reliable, and efficient, enabling other engineers to develop, deploy, and operate applications seamlessly. Their role includes managing team members, coordinating with stakeholders, setting technical direction, and ensuring best practices in automation, security, and cloud infrastructure. They often bridge the gap between development and operations to foster a DevOps culture.

How does a platform engineering manager typically collaborate with software development and operations teams?

A Platform Engineering Manager plays a pivotal role in bridging the gap between software development and operations teams. They work closely with developers to understand application requirements and with operations to ensure scalability, reliability, and security of the infrastructure. Regular collaboration includes overseeing the design and implementation of platform tools, facilitating communication during incident responses, and aligning platform capabilities with business needs. This cross-functional teamwork ensures that the platform supports efficient and reliable software delivery across the organization.

What are the key skills and qualifications needed to thrive as a platform engineering manager, and why are they important?

To thrive as a Platform Engineering Manager, you need a strong background in software engineering, cloud infrastructure, and experience leading technical teams, often supported by a degree in computer science or a related field. Familiarity with tools such as Kubernetes, Docker, CI/CD pipelines, and cloud platforms like AWS or Azure, along with certifications such as AWS Certified Solutions Architect, is highly valued. Exceptional leadership, communication, and problem-solving skills help you motivate teams and coordinate complex projects. These skills and qualities are crucial for building robust, scalable platforms and ensuring team alignment with organizational goals.

What is the difference between Platform Engineering Manager vs DevOps Engineer?

AspectPlatform Engineering ManagerDevOps Engineer
CredentialsBachelor's/Master's in Computer Science, relevant certificationsBachelor's in CS or related, certifications like AWS, Docker, Kubernetes
Work EnvironmentLeads teams, manages platform development, strategic planningImplements CI/CD pipelines, automates deployment, supports infrastructure
Industry UsageUsed in tech companies, cloud providers, large enterprisesCommon in startups, tech firms, cloud services

The Platform Engineering Manager oversees the development and maintenance of platform infrastructure, focusing on team leadership and strategic planning. In contrast, the DevOps Engineer primarily implements automation, CI/CD pipelines, and supports deployment processes. While both roles require technical expertise and familiarity with cloud and automation tools, the manager has a broader leadership role, whereas the engineer focuses on operational tasks.

Infographic showing various Platform Engineering Manager job openings in Toronto, ON as of September 2026, with employment types broken down into 86% Full Time, 13% Part Time, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution.

Engineering Manager, AI Conversation Platform

Toronto, ON

Stripe
Software Development • 1 - 5K employees
Learn more about Stripeexternal

Full-time

Re-posted 19 days ago

Job description

Engineering Manager, AI Conversation PlatformWho we areAbout Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies-from the world's largest enterprises to the most ambitious startups-use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

About the team

The newly formed Conversation Platform team aims to build a conversation platform for all merchants who use Stripe. We are doing so by (a) automating the easy tasks, and (b) assisting our users in the difficult tasks. Some examples include customizing the Stripe landing page to suggest bespoke integrations, allowing users to command the Stripe API in natural language, and resolving user issues automatically. We are developing RAG based systems on the latest LLMs as well as fine-tuning our own models. We're an end-to-end team going from ideas to models to shipping in production.

What you'll doResponsibilities
  • Driving an ambitious vision for AI/ML that benefits our users
  • Setting the technical & process direction for the team based on business goals
  • Brainstorm and coordinate product integrations with partner teams
  • Proposing new ideas and building prototypes
  • Be an integral part of a larger ML community internally & externally
  • Hire & develop a world-class team to deliver high-quality ML systems.
  • Coach engineers to help them grow in their careers and maintain a high bar
Who you are

We are looking for ML Engineering Managers who are passionate about using ML to improve products and delight customers. You have experience leading teams that develop streaming feature pipelines, build ML models, and deploy them to production, even if it involves making substantial changes to backend code. You are comfortable with ambiguity, love to take initiative, and have a bias towards action.

Minimum requirements
  • Have at least 4 years of experience managing ML teams
  • Experience working as a Machine Learning Engineer, Applied Scientist or equivalent Individual Contributor.
  • Lead by example in high-growth, high-impact, ambiguous environments
  • Have experience building & shipping ML systems.
  • Hold yourself and others to a high bar when working with production systems.
  • Thrive in a collaborative cross-functional environment
Preferred qualifications 
  • Experience in shipping LLM & RAG systems

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