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

Scotiabank

Software Engineer

Toronto, ON · On-site +1

The Role GBME is searching for Software Engineers who are continuous learners and are eager to ... Remote-friendly work environment will provide you with the flexibility to perform at your best.

Epistemix

Senior Back End Software Engineer

Toronto, ON · Remote

Our software engineers at Epistemix show a clear passion for quality and love to bring software to ... We are fully remote, with team members in the United States and Europe. Benefits include: * Equity ...

Applied Systems Canada

Senior Software Engineer

Toronto, ON · On-site +1

CA$90K - CA$140K/yr

Remote Opportunity for Impact We're looking for a Senior Software Engineer to join our Epic Engineering team for the Financial Management Division.As a senior engineer, you'll take ownership over key ...

Applied Systems Canada

Senior Software Engineer

Toronto, ON · On-site +1

CA$90K - CA$140K/yr

Remote Opportunity for Impact We're looking for a Senior Software Engineer to join our Epic Engineering team for the Financial Management Division.As a senior engineer, you'll take ownership over key ...

Applied Systems, Inc.

Senior Software Engineer

Toronto, ON · On-site +1

CA$90K - CA$140K/yr

Remote Opportunity for Impact We're looking for a Senior Software Engineer to join our Epic Engineering team for the Financial Management Division.As a senior engineer, you'll take ownership over key ...

Applied Systems Canada

Senior Software Engineer

Toronto, ON · On-site +1

CA$90K - CA$140K/yr

Remote Opportunity for Impact We're looking for a Senior Software Engineer to join our Epic Engineering team for the Financial Management Division.As a senior engineer, you'll take ownership over key ...

d1g1t

Senior Software Engineer, Integrations

Toronto, ON · On-site +1

CA$120K - CA$140K/yr

As a Senior Engineer, you won't just be writing code-you will be a vital technical voice and ... Remote friendly position with occasional office time as needed. Ability to work abroad for up to 2 ...

TOPOLIO

Software Engineer, CTO (Remote)

Toronto, ON · Remote

We are looking for a talented full stack software engineer to build SaaS application. You are an energetic and driven leader with a proven track record of taking new ideas from concept to market. You ...

Canals

Senior Software Engineer - Canada

Toronto, ON · Remote

To keep up, we need senior-level engineers who can move quickly while maintaining high quality ... Good ideas can come from anywhere, and people are trusted to make things happen. * We're remote ...

Block

Software Engineer, Cash App Banking

Toronto, ON · On-site +1

Today, Cash App has thousands of employees working globally across office and remote locations ... As a software engineer on the Cash App Banking server engineering team, you will design, develop ...

JBT Marel Corporation

Field Service Technician

Guelph, ON · Remote

CA$25 - CA$35/hr

As a Field Service Engineer at JBT Marel your most important responsibility is to provide customer ... You will work with electrical/pneumatic/embedded controllers/servo systems (dependent on experience ...

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All JobsRemote Embedded Engineer JobsRemote Embedded Engineer Jobs in Toronto, ON

Remote Embedded Engineer information

What is a Remote Embedded Engineer?

A Remote Embedded Engineer is a professional who designs, develops, and maintains embedded systems, such as microcontrollers or specialized hardware, while working from a location outside the traditional office environment. They use programming languages like C or C++ to create software that interacts directly with hardware components. Remote Embedded Engineers often collaborate with teams using online tools, manage tasks independently, and ensure the reliability and efficiency of embedded systems across industries such as automotive, medical devices, or IoT. Their work enables connectivity and functionality in a wide range of smart devices.

How do Remote Embedded Engineers typically collaborate with hardware teams when working off-site?

Remote Embedded Engineers often use a combination of version control systems, video conferencing, and remote desktop tools to stay in sync with hardware teams. They may participate in daily standups, share code and test results through collaborative platforms, and sometimes use hardware simulators or remote lab access for testing. Regular documentation and clear communication are key, as are scheduled sync meetings to address integration issues and align project milestones. This structure helps ensure smooth coordination despite physical distance.

What is the difference between Remote Embedded Engineer vs Remote Firmware Engineer?

AspectRemote Embedded EngineerRemote Firmware Engineer
Required CredentialsBachelor's in Electrical Engineering, Computer Engineering, or related; experience with embedded systemsBachelor's in Electrical Engineering, Computer Engineering, or related; experience with firmware development
Work EnvironmentDesigning and developing embedded hardware/software, often in R&D or product development teamsWriting low-level code for hardware devices, often in manufacturing or product support
Industry UsageElectronics, IoT, automotive, consumer devicesConsumer electronics, IoT, industrial equipment
Common Search/ComparisonRemote Embedded EngineerRemote Firmware Engineer

Both roles focus on embedded systems but differ mainly in scope. Remote Embedded Engineers work on both hardware and software integration, while Remote Firmware Engineers specialize in low-level firmware coding. The choice depends on whether the focus is on hardware-software integration or firmware development.

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

To thrive as a Remote Embedded Engineer, you need expertise in embedded systems design, proficiency in programming languages like C/C++, and a background in electrical or computer engineering. Familiarity with microcontrollers, real-time operating systems (RTOS), hardware debugging tools, and version control systems such as Git is typically required. Strong problem-solving abilities, self-motivation, and effective remote communication skills make candidates stand out in this role. These competencies are vital to ensure reliable embedded solutions, efficient project collaboration, and independent productivity in a remote environment.
What are the most commonly searched types of Embedded Engineer jobs in Toronto, ON? The most popular types of Embedded Engineer jobs in Toronto, ON are:
Remote Embedded Engineer jobs near you
Infographic showing various Remote Embedded Engineer job openings in Toronto, ON as of June 2026, with employment types broken down into 96% Full Time, 3% Part Time, and 1% Contract. Highlights an 85% Physical, 7% Hybrid, and 8% Remote job distribution.
Senior Software Engineer - CICD

Senior Software Engineer - CICD

ZoomInfo Technologies LLC

Toronto, ON • Remote

Other

Posted 17 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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