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Senior Software Development Engineer In Test Jobs in Ontario

Dialpad

Sr. SDET

Kitchener, ON · On-site

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 ...

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 ...

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 ...

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 ...

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Senior Software Development Engineer In Test information

How does a Senior Software Development Engineer In Test typically collaborate with development and product teams to ensure software quality?

As a Senior Software Development Engineer In Test (SDET), you will work closely with both development and product teams throughout the software development lifecycle. This includes participating in design and requirements discussions to identify potential test cases early, contributing to test automation strategies, and providing feedback on testability and quality risks. SDETs often pair with developers to review code, co-create test plans, and triage bugs together, ensuring that testing is fully integrated into the CI/CD pipeline. Effective communication and cross-team collaboration are essential for proactively identifying issues and maintaining high software quality standards.

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

AspectSenior Software Development Engineer In TestSoftware Development Engineer In Test
ExperienceTypically 5+ years in testing and developmentEntry to mid-level, 1-3 years experience
ResponsibilitiesDesigns complex test frameworks, mentors juniors, leads testing initiativesDevelops test cases, automates tests, executes testing tasks
Skills & CertificationsAdvanced coding, automation, testing tools, leadership skillsProgramming, automation, testing tools
Work EnvironmentCollaborates with cross-functional teams, often in Agile settingsWorks closely with developers, focuses on automation and manual testing

In summary, a Senior Software Development Engineer In Test has more experience, leadership responsibilities, and strategic testing roles compared to a Software Development Engineer In Test, who primarily focuses on developing and executing tests.

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

To thrive as a Senior Software Development Engineer In Test, you need advanced programming skills, deep knowledge of software testing methodologies, and a bachelor's degree in computer science or a related field. Expertise with automation frameworks (such as Selenium, Cypress, or Appium), CI/CD tools, and scripting languages is typically required, along with relevant certifications like ISTQB. Strong analytical thinking, problem-solving, and effective communication are crucial soft skills for collaborating with cross-functional teams and driving quality initiatives. These capabilities ensure rigorous test coverage, faster release cycles, and high-quality software products.

What does a Senior Software Development Engineer in Test (SDET) do?

A Senior Software Development Engineer in Test (SDET) is responsible for designing, developing, and maintaining automated test frameworks and tools to ensure the quality and reliability of software products. They work closely with development and QA teams to identify test requirements, create robust test cases, and integrate automated tests into the CI/CD pipeline. In addition to coding and scripting, Senior SDETs mentor junior team members, analyze test results, and help troubleshoot complex issues to continuously improve software quality. Their expertise bridges the gap between development and testing, ensuring both speed and quality in software releases.
What are the most commonly searched types of Software Development Engineer In Test jobs in Ontario? The most popular types of Software Development Engineer In Test jobs in Ontario are:
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Senior Software Development Engineer In Test jobs near you
Sr. Software Development Engineer in Test

Sr. Software Development Engineer in Test

Dialpad

Kitchener, ON • On-site

Other

Posted 23 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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