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Remote Platform Engineer Jobs in Quebec (NOW HIRING)

Prefer Canada-based candidates in Toronto/ Montreal, working on a hybrid/remote basis. Candidates ... Build a long-term strategy for Autodesk's developer ecosystem monetization, to accelerate growth ...

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position ... Cloud Platform environments * Experience with REST API's Some AWESOME selling points: * Remote ...

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position ... Cloud Platform environments * Experience with REST API's Some AWESOME selling points: * Remote ...

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position ... Cloud Platform environments * Experience with REST API's Some AWESOME selling points: * Remote ...

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position ... Cloud Platform environments * Experience with REST API's Some AWESOME selling points: * Remote ...

Our SaaS platform allows firms to onboard new clients, interact with their existing clients and ... Remote, but we also have offices based in Montreal, Toronto and Vancouver Why work for us * Follow ...

This is a permanent position that is completely remote! Our client is a fintech company based out ... You'll have the opportunity to work on an amazing platform that combines Data Analytics, and ...

This is a permanent position that is completely remote! Our client is a fintech company based out ... You'll have the opportunity to work on an amazing platform that combines Data Analytics, and ...

This is a permanent position that is completely remote! Our client is a fintech company based out ... You'll have the opportunity to work on an amazing platform that combines Data Analytics, and ...

This is a permanent position that is completely remote! Our client is a fintech company based out ... You'll have the opportunity to work on an amazing platform that combines Data Analytics, and ...

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Remote Platform Engineer information

What are the key skills and qualifications needed to thrive as a Remote Platform Engineer, and why are they important?

To thrive as a Remote Platform Engineer, you need strong expertise in software development, cloud infrastructure, automation, and a relevant degree or equivalent experience. Familiarity with tools such as AWS, Docker, Kubernetes, CI/CD pipelines, and infrastructure-as-code platforms like Terraform is typically required. Excellent problem-solving, self-motivation, and collaboration skills set standout candidates apart, especially in distributed teams. These skills ensure the reliability, scalability, and efficiency of platforms while enabling smooth teamwork in a remote work environment.

What is a Remote Platform Engineer?

A Remote Platform Engineer is a technology professional who designs, builds, and maintains the foundational systems (platforms) that support software applications, all while working from a remote location. Their responsibilities often include developing cloud infrastructure, automating deployment processes, and ensuring system reliability and scalability. They collaborate with other engineers and teams via digital tools, leveraging their expertise in areas like DevOps, cloud computing, and system architecture. This role requires strong technical skills, problem-solving abilities, and effective communication for remote teamwork.

How does a Remote Platform Engineer typically collaborate with cross-functional teams?

As a Remote Platform Engineer, you’ll frequently work with developers, DevOps, security, and product teams to ensure the platform’s stability, scalability, and security. Collaboration is often managed through daily stand-ups, code reviews, and project management tools like Jira or Trello. Clear communication and documentation are crucial, as most interactions happen via video calls, chat, and version control platforms. Successful remote platform engineers proactively seek feedback, clarify requirements, and keep stakeholders updated on progress.

What is the difference between Remote Platform Engineer vs Remote DevOps Engineer?

AspectRemote Platform EngineerRemote DevOps Engineer
CredentialsBachelor's in CS or related, certifications like AWS, AzureBachelor's in CS or related, certifications like AWS, Azure, Docker
Work EnvironmentDeveloping and maintaining platform infrastructure, cloud servicesAutomating deployment, CI/CD pipelines, infrastructure management
Industry UsageTech, SaaS, cloud providersTech, software development, cloud services

Both roles often require similar technical skills and certifications, focusing on cloud and infrastructure. The Remote Platform Engineer primarily builds and maintains platform infrastructure, while the Remote DevOps Engineer emphasizes automation, deployment pipelines, and continuous integration. They often collaborate but serve distinct functions within tech organizations.

What are the most commonly searched types of Platform Engineer jobs in Quebec? The most popular types of Platform Engineer jobs in Quebec are:
What job categories do people searching Remote Platform Engineer jobs in Quebec look for? The top searched job categories for Remote Platform Engineer jobs in Quebec are:
Infographic showing various Remote Platform Engineer job openings in Quebec as of June 2026, with employment types broken down into 86% Full Time, 10% Part Time, 1% Temporary, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.

Enterprise Data & AI Platform Architect - Cloud Solutions - AIRLHV

NavitasPartners

Quebec, QC • On-site, Remote

Full-time

Posted 13 days ago


Job description

Enterprise Data & AI Platform Architect – Cloud Solutions

Location: US / Canada (Remote/Hybrid)
Type: Contract / Full-Time

Overview:

Join a high-impact team delivering enterprise data and AI transformation programs. This role will focus on designing cloud-native architectures that support analytics, ML, and GenAI workloads.

Key Responsibilities:

  • Design and deploy scalable data and AI architectures
  • Enable integration of data engineering and ML pipelines
  • Partner with stakeholders to align technical solutions with business needs
  • Drive governance, security, and compliance across platforms

Required Skills:

  • Deep expertise in AWS, Azure, or GCP ecosystems
  • Strong background in data architecture and distributed systems
  • Proven experience delivering enterprise-scale solutions

Nice to Have / Coverage:

  • Experience with Databricks, Snowflake, Synapse, or BigQuery
  • Exposure to ML engineering and MLOps practices
  • Familiarity with GenAI frameworks and agent-based AI solutions
  • Experience in AI governance and enterprise compliance initiatives

For more details reach at resumes@navitassols.com.