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Remote Platform Engineer Jobs in Ontario (NOW HIRING)

Remote London/Europe - we do need GMT+0 to GMT+4 of overlap with UK team. Zencargo is looking for a Senior Platform Engineer to support the architectural direction of our cloud platform as our ...

Platform Engineer, Databases

Toronto, ON · Remote

CA$119K - CA$161K/yr

We're looking for a Platform Engineer, Databases to join our Systems Engineering, Production team ... ProxySQL and the Percona toolkit This is for a net new role. #LI-Remote What you will find here:

Senior Platform Engineer

Toronto, ON · Remote

CA$157K - CA$212K/yr

We are currently seeking a Senior Platform Engineer to join our Systems Engineering Team. This role ... This posting is for an existing vacancy. #LI-Remote What you will find here: Compensation is one of ...

... remote state management, module versioning, workspace strategy, CI/CD integration plan and multi ... DevOps and ARM/Bicep awareness * Strong understanding of Cloud Network fundamentals, VPs/VNets ...

We are currently seeking a Systems Engineer, Production to join our Platform Team. This role is ... This is for a net new role. #LI-Remote What you will find here: Compensation is one of the main ...

... that strengthen platform stability over time. Partnering closely with Engineering, Security ... This is a remote location open to candidates legally authorized to work in Canada. What you will be ...

Infrastructure Engineer

Toronto, ON · Remote

CA$140K - CA$190K/yr

... Remote Qualifications: * 3-5+ years of experience building, operating, and improving production infrastructure or DevOps platforms * Strong experience with one or more major cloud platforms such as ...

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Remote Platform Engineer information

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.

What are the key skills and qualifications needed to thrive as a remote platform engineer?

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.

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 Ontario?

The most popular types of Platform Engineer jobs in Ontario are:

What are popular job titles related to Remote Platform Engineer jobs in Ontario?

For Remote Platform Engineer jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Remote Platform Engineer jobs in Ontario look for?

The top searched job categories for Remote Platform Engineer jobs in Ontario are:

Infographic showing various Remote Platform Engineer job openings in Ontario as of August 2026, with employment types broken down into 51% Full Time, 47% Part Time, and 2% Contract. Highlights an 77% Physical, 3% Hybrid, and 20% Remote job distribution.

Platform Engineer (AI Native)

Remote

Full-time

Posted 11 days ago


Job description

Remote London/Europe - we do need GMT+0 to GMT+4 of overlap with UK team.
Zencargo is looking for a Senior Platform Engineer to support the architectural direction of our cloud platform as our traffic and our AI workloads grow, and to be the team's technical backstop when the hard problems land.

This is a hands-on and broad role. Roughly 60% is infrastructure engineering: cloud architecture, a private Kubernetes estate, an event-driven backbone, and the infrastructure as code that describes all of it. Roughly 40% is building software, from our internal AI tooling and platform services to product engineering.

You will collaborate closely with our forward deployed engineers and infrastructure team, owning solutions and driving outcomes that solve real business needs in a range of approaches from PoC work to long running projects. 
  • Lead the design, implementation and delivery of complex infrastructure projects. 
  • Build and scale the infrastructure behind our AI workloads, including cost, API reliability and platform support for LLM-powered features.
  • Debug the hard problems: cluster behaviour under load, service-to-service traffic, consumer lag on the event backbone, and database performance.
  • Own the infrastructure-as-code estate, keeping drift visible and reconciled, and setting module standards the rest of the team builds against.
  • Advance the delivery pipeline, including policy-as-code gates, progressive delivery, and changes that are tested, reviewed and auditable.
  • Contribute to our internal AI tooling, including the MCP server and agentic workflows that remove operational toil.
  • Engineer cost controls through right-sizing, reserved capacity and waste removal, measured against a baseline and advocate for targeted spend.
  • Mentor peers through pairing, code review and knowledge sharing, growing their judgement rather than answering for them.
  • Cover security and governance alongside the platform work in collaboration with the infrastructure team.
How success will be measured
Success in this role will be measured by the outcomes delivered, including:
  • Reduced time and manual effort in operational workflows, and improved speed, accuracy, cost or service quality across the business.
  • Platform reliability and incident outcomes, including systemic fixes landed rather than repeat incidents patched.
  • Complex infrastructure projects delivered end to end, with the decisions recorded and followable.
  • Infrastructure-as-code and pipeline health, including drift reconciled and standards adopted by the wider team.
  • Strong software engineering. You write code you would be happy to maintain, in at least one language, and you can move between languages when the problem requires it. 
  • Real production infrastructure ownership. You have been responsible for something running in production, on a major cloud, including when it broke.
  • Infrastructure as code depth. You understand state, module design, and why reviewed, repeatable changes matter.
  • Kubernetes in production. You have debugged a cluster that was misbehaving, not only deployed to a healthy one.
  • CI/CD fluency. You have designed a pipeline, not only consumed one.
  • Fluent, critical use of AI tooling. We build with AI but understand its limitations too and you will evolve with the tools as the industry transitions.
  • You work well remotely - we're fully remote with offices in multiple locations and we have an async-first mentality.
  • Calm under pressure. When the platform is down and the company is watching, you communicate a plan and work the problem methodically, keeping people informed without being in the room.
Desirable Experience
  • Experience in freight, logistics or supply chain, or in another B2B SaaS or operational technology environment.
  • Experience building workflow automation or orchestration, for example with tools such as n8n.
  • Experience our architectural setup e.g. with a service mesh, event streaming at scale or managed  Postgres-compatible databases under real load.
  • Familiarity with infra-adjacent processes such as Identity and access management as a discipline, including SSO and secret management or SRE methodology.
  • Building with LLM APIs, MCP servers or agentic tooling, rather than only using a chat assistant.