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Sr Software Development Engineer In Test Jobs in Ontario

Dialpad

Sr. SDET

Kitchener, ON

Your role As a Senior Software Developer in Test (SDET) in the Contact Center QA team, you're both a skilled developer who builds elegant, scalable test frameworks and a quality advocate who leads a ...

Dialpad

Sr. SDET

Kitchener, ON

Your role As a Senior Software Developer in Test (SDET) in the Contact Center QA team, you're both a skilled developer who builds elegant, scalable test frameworks and a quality advocate who leads a ...

OpsGuru

SDET Architect

Toronto, ON · On-site

Role Overview This position is for a Sr. Software Development Engineer in Test who embeds directly with customers as a hands-on quality partner while also building production features. The role ...

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Sr Software Development Engineer In Test information

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

AspectSr Software Development Engineer In TestSoftware Development Engineer In Test
Required CredentialsBachelor's/Master's in CS or related, experience in automation testingBachelor's in CS or related, focus on automation skills
Work EnvironmentDesigns and develops complex test frameworks, leads testing initiativesDevelops and maintains test scripts, executes testing
Employer & Industry UsageUsed in tech companies, especially in QA and testing teamsCommon in software development companies, focusing on testing automation

The main difference is that a Sr Software Development Engineer In Test typically has more experience, leads testing efforts, and designs complex testing frameworks, while a Software Development Engineer In Test primarily focuses on developing and executing test scripts. Both roles require strong automation skills and are vital in ensuring software quality, but the senior role involves more leadership and strategic testing responsibilities.

What are some common challenges faced by a Sr Software Development Engineer in Test when working on large-scale projects?

Sr Software Development Engineers in Test (SDETs) often encounter challenges such as managing complex test automation frameworks, ensuring comprehensive test coverage for rapidly evolving codebases, and coordinating with multiple development and QA teams. Balancing the need for speed in continuous integration pipelines with maintaining high-quality standards can also be demanding. Additionally, SDETs are frequently responsible for mentoring junior testers and advocating for best testing practices across cross-functional teams, which requires strong communication and leadership skills.

What is a Sr Software Development Engineer in Test?

A Sr Software Development Engineer In Test (Sr SDET) is a senior-level professional responsible for designing, developing, and maintaining automated test frameworks and tools to ensure the quality of software products. They work closely with developers and other QA team members to create robust testing strategies, identify defects, and improve the overall software development process. Sr SDETs have advanced programming skills, deep knowledge of test automation, and often mentor junior team members. Their goal is to enable efficient, reliable, and scalable automated testing throughout the software development lifecycle.

What are the key skills and qualifications needed to thrive as a Sr Software Development Engineer in Test?

To thrive as a Sr Software Development Engineer In Test, you need advanced programming skills (such as Java, Python, or C#), deep understanding of software testing methodologies, and a bachelor’s or master’s degree in computer science or a related field. Expertise with automation frameworks (like Selenium or Cypress), CI/CD tools (Jenkins, Git), and test management systems is typically required, along with certifications such as ISTQB being beneficial. Exceptional problem-solving abilities, attention to detail, and strong collaboration and communication skills distinguish standout professionals in this role. These competencies ensure the delivery of high-quality, reliable software products through efficient test automation and seamless teamwork.

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For Sr Software Development Engineer In Test jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Sr Software Development Engineer In Test jobs in Ontario look for?

The top searched job categories for Sr Software Development Engineer In Test jobs in Ontario are:

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Cities in Ontario with the most Sr Software Development Engineer In Test job openings:

Sr Software Development Engineer In Test jobs near you
Infographic showing various Sr Software Development Engineer In Test job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution.

Sr. Software Development Engineer in Test

Dialpad

Kitchener, ON

Full-time

Re-posted 21 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.

Apply