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Remote Gitops Engineer Jobs in Toronto, ON (NOW HIRING)

Morson Talent

25-183 - Kubernetes Engineer

Oshawa, ON · On-site +1

$60 - $85/hr

CHQ (Hybrid - 3 Days Remote) Job Overview Design and implement cloud-native infrastructure using ... Must have knowledge of GitOps concepts and tools like Flux, ArgoCD, etc Must have knowledge of one ...

Scotiabank

Principal Engineer

Toronto, ON · Remote

Design and integrate CI/CD and GitOps workflows to support automated application deployment ... remote state management, workspace strategy, CI/CD integration plan and multi-environment ...

MLabs

Senior Infrastructure Engineer

Toronto, ON · Remote

CA$170K - CA$220K/yr

Remote - Remote - Based In ET+2 / -3, NY Preferred Remote | Full-time Compensation: $170K - $220K ... Familiarity with GitOps patterns, deployment automation, and Infrastructure as Code (IaC) systems.

Scotiabank

Cloud Platform Engineer

Toronto, ON · On-site +1

... remote state management, module versioning, workspace strategy, CI/CD integration plan and multi ... Experience implementing CI/CD and GitOps workflows using tools such as GitHub Actions, Jenkins ...

NearSource

Senior JAVA Backend Developer

Toronto, ON · Remote

CA$80 - CA$90/hr

Senior Java Backend Developer Location: 100% Remote, Canada Experience: 7 to 10 Years Employment ... Familiarity with GitOps deployment methodologies using ArgoCD or Flux . * Familiarity with Apache ...

All JobsGitops Engineer JobsRemote Gitops Engineer JobsRemote Gitops Engineer Jobs in Toronto, ON

Remote Gitops Engineer information

What is a Remote GitOps Engineer?

A Remote GitOps Engineer is a software professional who manages and automates infrastructure and application deployments using GitOps principles, typically while working from a remote location. GitOps is a methodology that uses Git repositories as the single source of truth for declarative infrastructure and applications. The engineer is responsible for implementing, maintaining, and troubleshooting continuous deployment pipelines, ensuring that changes are version-controlled and auditable. They often work with tools like Kubernetes, ArgoCD, and Flux, collaborating with development and operations teams to streamline DevOps workflows.

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

To thrive as a Remote GitOps Engineer, you need a strong background in software development, infrastructure-as-code, and experience with cloud platforms, often supported by a degree in computer science or a related field. Familiarity with tools like Kubernetes, Docker, Terraform, Git, and CI/CD systems, along with certifications such as CKA or AWS Certified DevOps Engineer, is highly valuable. Excellent problem-solving, communication, and self-motivation are key soft skills for collaborating remotely and managing complex workflows. These skills ensure efficient, reliable, and scalable deployment pipelines, enabling teams to deliver software securely and quickly in distributed environments.

How does a Remote GitOps Engineer typically collaborate with development and operations teams to ensure smooth deployment processes?

As a Remote GitOps Engineer, you'll frequently collaborate with both development and operations teams through tools like Git, Slack, and video conferencing. Your main responsibility is to ensure deployment pipelines are automated and transparent, often acting as a bridge between developers writing code and operations teams managing infrastructure. Regular communication and documentation are crucial to resolve issues quickly and keep everyone aligned. You will also participate in code reviews, incident response, and infrastructure improvements, ensuring deployments are reliable and reproducible across distributed teams.

What is the difference between Remote Gitops Engineer vs Cloud Engineer?

AspectRemote Gitops EngineerCloud Engineer
Required CredentialsCertifications like Kubernetes, Docker, GitOps toolsCloud platform certifications (AWS, Azure, GCP), Linux skills
Work EnvironmentRemote, DevOps teams, CI/CD pipelinesRemote or on-site, cloud infrastructure management
Industry UsageDevOps, software development, automationCloud services, infrastructure, application deployment
Search & Comparison IntentFocus on automation, deployment, CI/CDFocus on cloud infrastructure, architecture

The Remote Gitops Engineer specializes in automating deployment processes using GitOps tools and practices, primarily working remotely within DevOps teams. In contrast, a Cloud Engineer manages cloud infrastructure and services across platforms like AWS, Azure, or GCP. While both roles require cloud and automation skills, the Gitops Engineer emphasizes continuous deployment and automation pipelines, whereas the Cloud Engineer focuses on infrastructure setup and management.

What are the most commonly searched types of Gitops Engineer jobs in Toronto, ON? The most popular types of Gitops Engineer jobs in Toronto, ON are:
What are popular job titles related to Remote Gitops Engineer jobs in Toronto, ON? For Remote Gitops Engineer jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Remote Gitops Engineer jobs in Toronto, ON look for? The top searched job categories for Remote Gitops Engineer jobs in Toronto, ON are:
Remote Gitops Engineer jobs near you
Infographic showing various Remote Gitops Engineer job openings in Toronto, ON as of July 2026, with employment types broken down into 97% Full Time, 1% Part Time, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.
Senior Software Engineer - CICD

Senior Software Engineer - CICD

ZoomInfo Technologies LLC

Toronto, ON • Remote

Other

Posted 22 days ago

Job description

What You'll do:

  • Design & Develop: Build and operate the self-hosted GitHub Actions runner fleet on GKE including autoscaling, reliability tuning, and zombie-runner cleanup.
  • GitOps & Delivery: Own the ArgoCD topology powering CI/CD deployments - central architecture, cluster connectivity, ApplicationSets, production reliability (PDBs, replicas, spot-node avoidance), and event-driven flows via Argo Events + GCP PubSub.
  • Shared Platform Components: Maintain and evolve the Helm charts and ApplicationSet patterns used by every Kubernetes workload - versioning, release process, backward compatibility, and developer ergonomics.
  • Jenkins Platform Ownership: Own and evolve our Jenkins environment including shared libraries, controllers and agents, plugins, credentials integration, JVM upgrades and platform reliability. 
  • Self-Service Tooling & Migration: build resusable GitHub actions workflows, actions, and templates, while driving migration from Jenkins and partnering on shared developer tooling 
  • End-to-End Ownership: Lead complex platform projects from architectural design through implementation and long-term maintenance - identifying system-wide bottlenecks before they become outages, and owning the outcomes well past the ship date.
  • Operational Excellence: Own pipeline reliability end-to-end - observability with Datadog (dashboards, monitors, runner log analysis, cluster tracing), incident response and on-call rotation via PagerDuty, plus secrets rotation and vulnerability response.
  • Global Collaboration: Partner with distributed teams of architects, infrastructure and security engineers, and every product team that consumes the platform - coordinating across time zones to translate their pipeline needs into golden paths, reusable workflows, and self-service tooling.

What you'll bring:

  • CI/CD Platforms: Deep expertise in Jenkins administration, Groovy shared-libraries, Docker-based agents, GitHub Actions, reusable workflows, self-hosted runners, secrets management, and pipeline troubleshooting.
  • Cloud & Containers: Strong Kubernetes(GKE) administration, cluster optimization, networking, kubernetes internals, and hands on experience with GCP and AWS services
  • GitOps & Delivery Tooling: Hands-on experience with ArgoCD (ApplicationSets, sync strategies, alerting), Helm chart authoring and versioning, and Argo Events or comparable event-driven delivery patterns.
  • Infrastructure as Code: Strong proficiency with Terraform for GKE clusters, GCP resources, and CI/CD-related modules.
  • Observability: Hands-on experience instrumenting and operating pipelines with Datadog - custom metrics, dashboards, monitors, and distributed tracing.
  • Incident Response: Experience running production on-call with PagerDuty - rotation management, alert routing, escalation policy design, and post-incident review.
  • Artifact & Image Management: Experience with container registries - JFrog Artifactory (including Xray/Curation scanning) and GCP Artifact Registry - and image lifecycle policies.
  • Programming: Comfortable shipping production code in at least one of Go, Python, or Node.js - enough to build controllers, GCP Cloud Functions, glue services, and AI-assisted pipeline tooling.
  • AI Development: Experience or knowledge building or deploying LLM-based applications, AI-assisted developer tooling, or managing AI infrastructure for engineering workflows.

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