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Software Engineer In Test Jobs in Ontario (NOW HIRING)

Scotiabank

Software Developer in Test

Toronto, ON · Hybrid

Job Purpose We are seeking a Software Developer in Test Automation - API & Services Quality Engineering to lead and evolve quality practices across our API, microservices, and distributed services ...

Scotiabank

Software Developer in Test

Toronto, ON · Hybrid

Job Purpose We are seeking a Software Developer in Test Automation - API & Services Quality Engineering to lead and evolve quality practices across our API, microservices, and distributed services ...

United Airlines

Playwright SDET

Toronto, ON · On-site

Proven experience as an SDET * Experience with Playwright automation and API automation using Postman * Ability to work collaboratively with distributed teams and communicate effectively

Warnerbros

Senior Software Developer in Test

Kanata, ON · On-site

As a Senior Software Engineer 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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Software Engineer In Test information

See Ontario salary details

$36K

$107.5K

$146K

How much do software engineer in test jobs pay per year?

As of May 30, 2026, the average yearly pay for software engineer in test in Ontario is $107,522.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,000.00 and $124,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Software Engineer in Test, you need a solid background in computer science, strong programming skills (often in Java, Python, or similar languages), and experience with automated testing frameworks. Familiarity with tools such as Selenium, JUnit, TestNG, and CI/CD systems, as well as knowledge of test management platforms, is typically required. Analytical thinking, problem-solving, and clear communication are critical soft skills that help you design effective test cases and collaborate with development teams. These skills ensure that software products are reliable, scalable, and meet quality standards before release.

What are some common challenges faced by Software Engineers In Test when collaborating with development teams?

Software Engineers In Test (SETs) often face the challenge of ensuring their testing processes keep pace with rapid development cycles. Coordinating closely with developers is essential to identify potential issues early and to align on testing priorities. Communication gaps can sometimes lead to misunderstandings about requirements or missed edge cases, so proactive collaboration is key. Additionally, SETs may need to advocate for sufficient time for thorough test automation, balancing quality with project deadlines.

What is a Software Engineer In Test?

A Software Engineer In Test (SET) is a professional who specializes in developing and maintaining automated tests and testing frameworks to ensure software quality. Unlike traditional testers, SETs are skilled in programming and work closely with development teams to design testable software, automate repetitive testing tasks, and identify bugs early in the development cycle. Their main goal is to improve the efficiency, effectiveness, and coverage of software testing processes, often contributing to both code quality and faster release cycles.

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

AspectSoftware Engineer In TestQA Engineer
CredentialsBachelor's in CS or related field, coding skillsBachelor's in CS, QA certifications optional
Work EnvironmentDevelops automated tests, collaborates with developersDesigns test plans, manual and automated testing
Industry UsageTech companies, software firmsVariety of industries, including tech and manufacturing
Search IntentAutomation, testing, developmentManual testing, quality assurance

Software Engineer In Test roles focus on developing automated testing solutions and collaborating closely with developers, requiring coding skills. QA Engineers typically design test plans and perform manual and automated testing, often with less emphasis on coding. Both roles aim to ensure software quality but differ in technical depth and responsibilities.

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 Software Engineer In Test jobs in Ontario? For Software Engineer In Test jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Software Engineer In Test jobs in Ontario look for? The top searched job categories for Software Engineer In Test jobs in Ontario are:
Software Engineer In Test jobs near you
Infographic showing various Software Engineer In Test job openings in Ontario as of May 2026, with employment types broken down into 91% Full Time, and 9% Contract. Highlights an 76% In-person, 8% Hybrid, and 16% Remote job distribution, with an average salary of $107,522 per year, or $51.7 per hour.
Sr. Software Development Engineer in Test

Sr. Software Development Engineer in Test

Dialpad

Mississauga, ON

Full-time

Posted 2 days ago

Job description

About Dialpad
Dialpad is the AI-native business communications platform. We unify calling, messaging, meetings, and contact center on a single platform - powered by AI that understands every conversation in real time.

More than 70,000 companies around the globe, including WeWork, Asana, NASDAQ, AAA Insurance, COMPASS Realty, Uber, Randstad, and Tractor Supply, rely on Dialpad to build stronger customer connections using real-time, AI-driven insights.

We're now leading the shift to Agentic AI: intelligent agents that don't just analyze conversations but take action by automating workflows, resolving customer issues, and accelerating revenue in real time. Our DAART initiative (Dialpad Agentic AI in Real Time) is redefining what a communications platform can do.

Visit dialpad.com to learn more.

Being a Dialer
At Dialpad, AI isn't just a feature; it's how our teams do their best work every day. We put powerful AI tools in every employee's hands so they can move faster, think bigger, and achieve more.

We believe every conversation matters. And we've built the platform that turns those conversations into insight and action, for our customers and ourselves.

We look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level. We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic.

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.

For exceptional talent based in Ontario, Canada the target base salary range for this position is posted below. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the target range for new hire salaries for the position. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in Ontario role postings reflect the base salary only, and do not include bonus, equity, or benefits.

Ontario Pay Transparency Range
$135,500—$158,000 CAD

Why Join Dialpad

  • Work at the center of the AI transformation in business communications
  • Build and ship agentic AI products that are redefining how companies operate
  • Join a team where AI amplifies every employee's impact
  • Competitive salary, comprehensive benefits, and real opportunities for growth

We believe in investing in our people. Dialpad offers competitive benefits and perks, cutting-edge AI tools, and a robust training program that help you reach your full potential. We have designed our offices to be inclusive, offering a vibrant environment to cultivate collaboration and connection. Our exceptional culture, repeatedly recognized as a Great Place to Work, ensures that every employee feels valued and empowered to contribute to our collective success.

Don't meet every single requirement? If you're excited about this role and possess the fundamental traits, drive, and strong ambition we seek, but your experience doesn't meet every qualification, we encourage you to apply.

Dialpad is an equal-opportunity employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment.