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X Ray Service Engineer Jobs in Ontario (NOW HIRING)

Td

Quality Engineer I

Toronto, ON · On-site

CA$69K - CA$98K/yr

Selenium/Cypress/Playwright, Jira/Azure DevOps, TestRail/qTest/Xray, Postman/REST Assured, JMeter/k6, Git/Jenkins/GitHub Actions/Azure Pipelines, service virtualization tools, test data tools, and ...

Scotiabank

Test Automation Engineer

Toronto, ON · On-site

We are looking for a Test Automation Engineer to work with the Notification Services team in Scotia ... Experience with JIRA, Confluence, XRay. * Very good knowledge on QA processes and hands-on ...

StackandCo

Develop test automation plan by collaborating with the manual testing team using XRAY (jira). Work ... Develops and sets up mocks \/ stubs \/ virtual services for smooth automation framework execution ...

Kprime Technologies

Equipment Service Technician

Sudbury, ON · On-site

CA$45K - CA$85K/yr

... engineering technology, and/or related trade certification required * Experience in a field service environment with direct experience in x-ray, screening technologies, and/or knowledge of complex ...

Acuren Inspection, Inc.

NDT RT 2 Technician

Sarnia, ON · On-site

CA$51.52/hr

Prepare and set up radiographic testing equipment, including X-ray or gamma ray sources, detectors ... engineering, drones, robotics, V-Deck and condition-based monitoring services.Our work is critical ...

Acuren Inspection, Inc.

NDT RT 2 Technician

Sarnia, ON · On-site

CA$51.52/hr

Prepare and set up radiographic testing equipment, including X-ray or gamma ray sources, detectors ... engineering, drones, robotics, V-Deck and condition-based monitoring services. Our work is critical ...

All JobsX Ray Service Engineer JobsX Ray Service Engineer Jobs in Ontario

X Ray Service Engineer information

See Ontario salary details

$26K

$69K

$108.5K

How much do x ray service engineer jobs pay per year?

As of Aug 13, 2026, the average yearly pay for x ray service engineer in Ontario is $69,028.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,000.00 and $83,500.00 per year, depending on experience, location, and employer.

What does an x-ray service engineer do?

The duties of an x-ray service engineer are to install, repair, and perform routine maintenance on x-ray and other medical imaging equipment at a hospital or other medical facility. Their responsibilities are to travel to locations as part of regular inspections or when a piece of equipment is malfunctioning. They inspect the equipment, determine the issue, and either repair it or order replacement parts. An x-ray service engineer also helps calibrate equipment.

What does an x ray service engineer do?

A typical day for an X Ray Service Engineer involves traveling to healthcare facilities to troubleshoot, repair, and maintain X-ray imaging equipment. You may conduct scheduled preventive maintenance, respond to urgent service calls, calibrate devices, and document your work in compliance with safety and regulatory standards. Collaboration with hospital staff and communication with manufacturers or technical support teams are common. The workload can be varied and may include both hands-on technical repairs and customer support, making adaptability and effective time management important for success in the role.

What is an x ray service engineer?

An X-Ray Service Engineer is responsible for installing, maintaining, troubleshooting, and repairing X-ray imaging systems in healthcare facilities and other industries. They ensure equipment functions correctly, meets safety regulations, and minimizes downtime. This role requires knowledge of electronics, mechanics, and software, as well as strong problem-solving skills. Engineers may also train users on proper equipment operation and safety protocols.

What are the key skills and qualifications needed to thrive as an x ray service engineer?

To thrive as an X Ray Service Engineer, you need a solid background in electronics, mechanical systems, and diagnostics, typically supported by a degree in engineering or a related technical field. Familiarity with medical imaging equipment, OEM-specific software, and safety certifications such as radiation safety training are typically required. Excellent problem-solving abilities, strong communication skills, and the ability to work both independently and within a team are essential soft skills. These competencies ensure prompt and effective service, adherence to safety standards, and positive relationships with healthcare professionals and clients.

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X Ray Service Engineer jobs near you
Infographic showing various X Ray Service Engineer job openings in Ontario as of July 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $69,028 per year, or $33.2 per hour.

Senior Software Engineer - CI/CD

ZoomInfo Technologies LLC

Toronto, ON • Remote

Full-time

Re-posted 7 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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