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Junior Software Engineer In Test Jobs in Ontario

StackandCo

\n \n \n \n \n Role Overview SDET Engineers will, in collaboration with a multidisciplinary delivery team, be responsible for the increasing automation coverage and improving our existing automation ...

Dialpad

Sr. SDET

Kitchener, ON

Your role As a Sr. SDET in Agentic QA, you will own the test automation and quality frameworks that support Dialpad's AI Voice Agent services. You will develop automated tests for end-to-end product ...

YuJa Inc.

Support Engineer in Test

Toronto, ON · On-site

About the Role As a Support Engineer in Test, you will play a pivotal role in ensuring the ... Competence in manually testing software to evaluate functionality * 1-2 years of customer service ...

YuJa

Support Engineer in Test

Toronto, ON · Hybrid

About the Role As a Support Engineer in Test, you will play a pivotal role in ensuring the ... Competence in manually testing software to evaluate functionality * 1-2 years of customer service ...

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Junior Software Engineer In Test information

What are Junior Software Engineers In Test?

Junior Software Engineers In Test are entry-level professionals who focus on ensuring the quality and reliability of software applications. They write and execute test cases, identify bugs, and collaborate with developers to resolve issues. Their responsibilities often include developing automated tests, maintaining testing frameworks, and reporting on test results. This role provides a foundation in both software development and quality assurance practices, making it an excellent starting point for a career in software engineering or testing.

What are some common challenges faced by Junior Software Engineers In Test when transitioning from manual to automated testing?

Junior Software Engineers In Test often encounter challenges such as learning new automation frameworks, understanding programming concepts, and adapting to complex test environments. It can also be difficult to write effective automated test scripts that are maintainable and scalable. Collaborating with developers and senior QA engineers is key to overcoming these hurdles, as mentorship and code reviews help build confidence and technical skills. Continuous learning and hands-on practice with automation tools like Selenium or Cypress are essential for a smooth transition.

What are the key skills and qualifications needed to thrive as a Junior Software Engineer In Test, and why are they important?

To thrive as a Junior Software Engineer In Test, you need a solid understanding of programming fundamentals, basic knowledge of software testing methodologies, and often a degree in computer science or a related field. Familiarity with test automation tools (such as Selenium or JUnit), version control systems (like Git), and continuous integration platforms is typically required. Strong analytical thinking, attention to detail, and effective communication skills help you collaborate with development teams and ensure high-quality software. These skills are crucial for identifying issues early, maintaining efficient testing processes, and contributing to reliable product releases.

What is the difference between Junior Software Engineer In Test vs Junior QA Engineer?

AspectJunior Software Engineer In TestJunior QA Engineer
Required CredentialsBachelor's in CS or related field, programming skillsBachelor's in CS, IT, or related field, testing knowledge
Work EnvironmentDevelopment teams, coding, automationTesting teams, manual and automated testing
Employer & Industry UsageTech companies, software firms, startupsSoftware companies, QA departments, IT firms
Common Search & ComparisonYesYes

Junior Software Engineer In Test roles focus on developing automated tests and coding, often working closely with developers. Junior QA Engineers primarily perform manual testing and basic automation, focusing on quality assurance. Both roles require similar educational backgrounds but differ in daily tasks and technical depth.

What are the most commonly searched types of Software Engineer In Test jobs in Ontario? The most popular types of Software Engineer In Test jobs in Ontario are:
What are popular job titles related to Junior Software Engineer In Test jobs in Ontario? For Junior Software Engineer In Test jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Junior Software Engineer In Test jobs in Ontario look for? The top searched job categories for Junior Software Engineer In Test jobs in Ontario are:
What cities in Ontario are hiring for Junior Software Engineer In Test jobs? Cities in Ontario with the most Junior Software Engineer In Test job openings:
Junior Software Engineer In Test jobs near you
Infographic showing various Junior Software Engineer In Test job openings in Ontario as of July 2026, with employment types broken down into 4% Locum Tenens, 90% Full Time, 3% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.
Sr. Software Development Engineer in Test

Sr. Software Development Engineer in Test

Dialpad

Kitchener, ON

Other

Posted 10 days ago

Job description

Your role
As a Sr. SDET in Agentic QA, you will own the test automation and quality frameworks that support Dialpad's AI Voice Agent services. You will develop automated tests for end-to-end product experiences, from frontend UI to backend services to APIs to audio/text interactions. You will test orchestration flows, agent configuration experiences, and guardian safeguards to create robust automated coverage for functionality, performance, reliability, UX, and more. 

In this role, you will develop substantial amounts of automated test infrastructure and partner deeply with the development team to make our fast-growing AI platform more testable, more stable, and more delightful for customers.

This position is based at one of Dialpad's Canadian offices and reports to a QA Eng Manager in the United States.

What you'll do

  • Own end-to-end quality for agentic features and workflows, including strategy, development, execution, and release qualification.
  • Design and build automation tooling and frameworks for AI/LLM-driven systems, including prompt flows, agent orchestration, and tool integrations.
  • Develop and maintain evaluation frameworks (evals) to measure response quality, accuracy, and hallucination rates.
  • Drive automation coverage (80%+ for critical AI workflows) using deterministic + probabilistic validation approaches.
  • Integrate AI quality checks into CI/CD pipelines with fast feedback cycles (<15 minutes for PR validation).
  • Build tooling for LLM observability and debugging, including prompt tracing and response analysis.
  • Partner with Applied AI teams on prompt engineering, model selection, and evaluation strategies.
  • Design and execute performance and load tests for AI services (latency, throughput, cost efficiency).
  • Identify and mitigate risks related to hallucinations, bias, safety, and edge cases.
  • Define and track AI quality KPIs (task success rates, precision/recall, latency, etc.).
  • Participate in design and architecture reviews to ensure systems are testable, observable, and resilient.
  • Mentor engineers and contribute to raising the bar on AI quality engineering practices.

What you'll bring

  • 5+ years of experience in software engineering or SDET roles with an emphasis on software development.
  • Strong programming skills in Python (preferred), Java, or JavaScript.
  • Experience testing distributed, cloud-native SaaS systems and APIs.
  • Demonstrated proficiency in coding with AI agents to accelerate development and improve code quality.
  • Hands-on exposure to LLMs or AI/ML systems (e.g., OpenAI, Claude, Gemini, or similar platforms).
  • Understanding of non-deterministic systems and probabilistic testing approaches.
  • Experience building test frameworks and scalable automation systems.
  • Familiarity with AI evaluation techniques (benchmarking, golden datasets, human-in-the-loop validation).
  • Experience with CI/CD pipelines (e.g., Jenkins, GitHub Actions).
  • Strong collaboration skills with the ability to work across distributed teams and time zones.
  • Bachelor's degree in Computer Science or equivalent practical experience.
  • Backend: Python, Go, Google Cloud Platform, Cloud Run / App Engine, Kubernetes, Datastore, Redis, ElasticSearch.
  • Frontend: Vue3, React.
  • AI Stack: LLM APIs, LiveKit, prompt orchestration frameworks, evaluation tooling.

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