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Google Test Engineer Jobs in Ontario (NOW HIRING)

Dialpad

Staff Software Engineer (Platform)

Kitchener, ON · On-site

Develop well-tested features with appropriate test hooks resulting in low defect reports and faster ... Python backend on Google Cloud Platform (AppEngine, Datastore, BigQuery, Dataflow, Memcache, Cloud ...

Alpaca

Software Engineer - Market Data

Toronto, ON · On-site +1

Maintain good software quality and test coverage * Participate in code reviews * Troubleshooting on ... Google Cloud Services (Google Kubernetes Engine, BigTable) * Prometheus, Grafana, ELK How We Take ...

Connor, Clark & Lunn Private Capital Ltd. (CC&L)

CA$125K - CA$145K/yr

In this role, you will design, build, test and improve practical AI‑enabled tools and workflows ... Experience on enterprise AI platforms (e.g., Azure OpenAI, Google Vertex AI, Anthropic APIs ...

New

Softchoice

Sr. AI Engineer

Ottawa, ON

CA$91K - CA$114K/yr

... test, and validate innovative solutions before deploying them at scale. What you'll do ... Cloud certifications are an asset, particularly across Azure, AWS, and/or Google Cloud Platform.

Softchoice

CA$91K - CA$114K/yr

... test, and validate innovative solutions before deploying them at scale. What you'll do ... Cloud certifications are an asset, particularly across Azure, AWS, and/or Google Cloud Platform.

Softchoice

Sr. AI Engineer

Oakville, ON

CA$91K - CA$114K/yr

... test, and validate innovative solutions before deploying them at scale. What you'll do ... Cloud certifications are an asset, particularly across Azure, AWS, and/or Google Cloud Platform.

Softchoice

Sr. AI Engineer

Toronto, ON

CA$91K - CA$114K/yr

... test, and validate innovative solutions before deploying them at scale. What you'll do ... Cloud certifications are an asset, particularly across Azure, AWS, and/or Google Cloud Platform.

StackandCo

Work with QA to develop test plans\/strategies \n \n \n \n \n \n What You Need To Succeed \n \n \n ... AWS, Google Cloud, etc. \n * Knowledge and experience using ELK stac \n \n \n \n \n \n

Scotiabank

Software Engineer

Toronto, ON · On-site +1

... of Test-Driven Development methodology. * Microsoft Azure Cloud or Google Cloud GCP experience ... Bachelor's degree in computer science, Engineering or relevant experience. Preferred Qualifications ...

Prenuvo

Senior QA Engineer

Toronto, ON · Remote

We are looking for a Senior QA Engineer I to join our team! You will be responsible for ensuring ... Google Play Console) and CI/CD integration. * Experience designing and executing accessibility test ...

Tucows Inc.

Senior Backend Engineer

Toronto, ON · Remote

CA$145K - CA$155K/yr

Design, develop, test, and maintain secure, scalable, and reliable backend systems. * Provide ... Experience with AWS, Azure, or Google Cloud. * Experience with Docker, Docker Swarm, Nomad, or ...

Tucows Domains

Senior Backend Engineer

Toronto, ON · Remote

CA$145K - CA$155K/yr

Design, develop, test, and maintain secure, scalable, and reliable backend systems. * Provide ... Experience with AWS, Azure, or Google Cloud. * Experience with Docker, Docker Swarm, Nomad, or ...

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Showing results 21-40

All JobsGoogle Test Engineer JobsGoogle Test Engineer Jobs in Ontario

Google Test Engineer information

See Ontario salary details

$27K

$95.4K

$164.5K

How much do google test engineer jobs pay per year?

As of Aug 28, 2026, the average yearly pay for google test engineer in Ontario is $95,399.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,500.00 and $117,000.00 per year, depending on experience, location, and employer.

What is a Google Test Engineer?

A Google Test Engineer is responsible for ensuring the quality and reliability of Google's products through rigorous testing and automation. They design test plans, create automated testing frameworks, and collaborate with developers to identify and fix software issues. Test Engineers work with large-scale systems, debugging complex problems, and improving overall product performance. Their role is critical in maintaining Google's high standards for user experience and software quality.

What are the key skills and qualifications needed to thrive as a Google Test Engineer?

To thrive as a Google Test Engineer, you need a solid background in software engineering, programming (such as Python, Java, or C++), and experience with test automation and QA methodologies. Familiarity with test frameworks like Selenium, Appium, or Google’s in-house tools, as well as CI/CD systems and cloud platforms, is commonly expected. Strong communication, problem-solving abilities, and a collaborative mindset are valuable soft skills in this position. These qualities are crucial for ensuring product quality, driving efficient testing processes, and working effectively within Google’s fast-paced, innovative teams.

What are some common challenges faced by Google Test Engineers, and how do they overcome them?

Google Test Engineers often work on complex, large-scale software products that require extensive automated and manual testing across multiple platforms. A common challenge is keeping up with rapid development cycles while ensuring test coverage and maintaining high-quality standards. Test Engineers overcome these challenges by collaborating closely with developers and product managers, utilizing advanced automation tools, and participating in regular code reviews and sprint planning. Proactive communication and adaptability help them identify issues quickly and implement solutions efficiently, making them key players in Google's agile development environment.

Does Google hire Google Test Engineers?

Google hires Google Test Engineers to develop and maintain testing frameworks and automation tools for software quality assurance. Candidates typically need experience with testing tools, programming languages like C++ or Python, and familiarity with continuous integration systems. Job openings are posted on Google's careers site and require relevant technical skills and experience.

What are popular job titles related to Google Test Engineer jobs in Ontario?

For Google Test Engineer jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Google Test Engineer jobs in Ontario look for?

The top searched job categories for Google Test Engineer jobs in Ontario are:

Google Test Engineer jobs near you
Infographic showing various Google Test Engineer job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, 2% Contract, and 1% Nights. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $95,399 per year, or $45.9 per hour.

Machine Learning Engineer (Canada)

Tiger Analytics Inc.

Toronto, ON

Full-time

Re-posted 13 days ago

Job description

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We are looking for a motivated and passionate Machine Learning Engineers for our team.

As part of this job, you will be responsible for:

  • Providing solutions for the deployment, execution, validation, monitoring, and improvement of data science solutions
  • Creating Scalable Machine Learning systems that are highly performant
  • Building reusable production data pipelines for implemented machine learning models
  • Writing production-quality code and libraries that can be packaged as containers, installed and deployed

Requirements

  • Bachelor's degree or higher in computer science or related, with 5+ years of work experience
  • Ability to collaborate with Data Engineers and Data Scientist to build data and model pipelines and help running machine learning tests and experiments
  • Ability to manage the infrastructure and data pipelines needed to bring ML solution to production
  • End-to-end understanding of applications being created and maintain scalable machine learning solutions in production
  • Ability to abstract complexity of production for machine learning using containers
  • Ability to troubleshoot production machine learning model issues, including recommendations for retrain, revalidate, and improvements
  • Experience with Big Data Projects using multiple types of structured and unstructured data
  • Ability to work with a global team, playing a key role in communicating problem context to the remote teams
  • Excellent communication and teamwork skills

Additional Skills Required:

  • Python, Spark, Hadoop, Docker, with an emphasis on good coding practices in a continuous integration context, model evaluation, and experimental design
  • Test-driven development (prefer py. test/nose), experience with Cloud environments
  • Proficiency in statistical tools, relational databases, and expertise in programming language like python/SQL is desired.

Good to have:

  • Knowledge of ML frameworks like Scikitlearn, Tensorflow, Keras, etc.
  • Knowledge of MLflow, Airflow, Kubernetes
  • Knowledge on any of the cloud-native MLaaS offerings like AWS SageMaker, AzureML, or Google AI platform

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Apply