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Senior Software Engineer In Test Jobs in Ontario

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 ...

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 ...

Machina Labs

Software Engineer in Test (SET)

Chatsworth, ON · On-site

CA$140K - CA$165K/yr

Machina Labs is seeking a Software Engineer in Test (SET) to own quality, validation, and release execution across our software platform as we develop and deploy new features and services. This role ...

Ignite Talent Solutions

Software Development Engineer in Test (SDET) Our client is looking for a meticulous SDET to contribute to and review the creation of designs for production software. The SDET's responsibilities ...

Ignite Talent Solutions

Software Development Engineer in Test (SDET) Our client is looking for a meticulous SDET to contribute to and review the creation of designs for production software. The SDET's responsibilities ...

Warnerbros

Senior Software Developer in Test

Kanata, ON · On-site

As a Senior Software Developer in Test in the GQA, you will be responsible for ensuring software quality using efficient and reliable test automation. The ideal candidate has built multiple stable ...

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Senior Software Engineer In Test information

What is the difference between Senior Software Engineer In Test vs Software Development Engineer in Test?

AspectSenior Software Engineer In TestSoftware Development Engineer in Test
CredentialsBachelor's in CS or related field, experience in testing and automationBachelor's in CS or related field, strong coding skills, experience in testing
Work EnvironmentDesigning test strategies, automation frameworks, collaborating with development teamsDeveloping test tools, writing automated tests, integrating testing into CI/CD pipelines
Industry UsageCommon in tech companies, especially in QA and testing teamsWidely used in software development companies focusing on automation

The main difference is that Senior Software Engineer In Test often focuses on testing strategy and automation leadership, while Software Development Engineer in Test emphasizes developing testing tools and automation code. Both roles require strong coding skills and testing experience, but their focus areas differ slightly within the testing lifecycle.

What are some typical challenges a Senior Software Engineer in Test faces when designing automated testing frameworks?

Senior Software Engineers in Test often encounter challenges such as integrating automated tests with complex, evolving codebases and ensuring tests remain reliable as features change. Balancing thorough test coverage with execution speed, especially in continuous integration environments, is another common concern. Additionally, collaborating with both development and QA teams to align on testing strategies and maintaining documentation for test frameworks are key responsibilities that require strong communication and adaptability.

What are Senior Software Engineers in Test?

Senior Software Engineers in Test are experienced professionals who design, develop, and implement automated testing frameworks and tools to ensure the quality and reliability of software products. They work closely with development and QA teams to identify testing needs, create robust test plans, and write automated scripts that validate software functionality. In addition to hands-on coding, they often mentor junior engineers, drive process improvements, and contribute to the overall testing strategy of the organization.

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

To thrive as a Senior Software Engineer in Test, you need a deep understanding of software development, test automation frameworks, and a background in computer science or a related field. Mastery of tools like Selenium, Jenkins, JUnit, and experience with CI/CD systems, as well as relevant certifications such as ISTQB, are typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills set top candidates apart in this role. These skills are crucial for ensuring robust, scalable, and reliable software delivery in complex technical environments.
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What job categories do people searching Senior Software Engineer In Test jobs in Ontario look for? The top searched job categories for Senior Software Engineer In Test jobs in Ontario are:
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Senior Software Engineer In Test jobs near you
Sr. Software Development Engineer in Test

Sr. Software Development Engineer in Test

Dialpad

Kitchener, ON

Other

Posted 19 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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