Opportunity

Our Development team is growing and we’re looking for a Quality Engineer who is passionate about mastering the best practices of Test Engineering, employing various techniques such as Unit Testing, Integration Testing, End-to-End Testing (browser based), and helping us in implementing a modern Continuous Delivery pipeline. We’re AI-first but human-accountable — you’ll use AI to move faster, and your judgment to make sure what we ship is right. Your work will have tremendous impact, allowing your team to rapidly release code to customers with confidence.

About Method

Method is on a mission to transform how small businesses operate by giving them real control over their customer workflows. Our flagship product, Method CRM is purpose-built for small businesses that have outgrown spreadsheets and generic tools. With deep QuickBooks integration and a powerful no-code customization engine, Method enables users to design workflows that truly fit their unique needs. As a scaling growth company, we’re now taking that mission further, leveraging AI to develop intelligent agents that assist users in rapidly building and customizing no-code apps. This innovation is at the heart of our next chapter, and we’re looking for people who are excited to build the future of work!

The Role

As a Quality Engineer, you will be part of a driven and supportive team that’s always striving to deliver value to our customers by:

• Developing high quality Integration Tests, End-to-End Tests and Performance Tests to ensure fast and reliable iterative development.

• Create test plans and test cases in an Agile environment.

• Use AI to accelerate the testing process and test authoring, with disciplined human verification of coverage and correctness.

• Take on light coding - such as fixing bugs and making small changes, with the help of an AI assistant.

• Help your team in delivering a high quality product.

• Participate and share your ideas in technical discussions.

• Help your team make progress against its KPIs and the team’s North Star metric.

• Develop your craft, build and share your experience in the field.

What You Bring

Before you read this next section, we want you to know that we know the “ideal candidate” doesn’t exist — everybody has a unique background and skill set. Even if you don’t check every box below, we’d love for you to apply - we are building for the future and growth potential is a priority for us!

• Post-secondary education in the following areas preferred: Computer Science, Computer Engineering, Software Engineering or equivalent training/experience.

• Good understanding of JavaScript/Typescript, and Python languages.

• Good understanding of relational databases, especially SQL Server.

• 3+ years of working experience in developing Integration Testing (API level) with Python or other languages.

• 3+ years of working experience with Playwright or Selenium based tools.

• Works AI-first with disciplined verification - uses AI to accelerate test design and authoring, and neither avoids it on principle nor trusts its output blindly.

• Fluent with Git source control, and GitHub.

• Passionate for building engaging user experiences.

• Must be self-motivated, goal driven and possess the ability to multitask and prioritize.

• A team player with a positive attitude and a willingness to contribute to the overall team’s success in a fast paced environment.

• Experience with the following is a nice to have: exposure to Gatling, Postman, .NET Web stack: MVC, Web API, React, Redux, MongoDB, ElasticSearch and Redis, good understanding of OOD/OOP, and experience with Agile methodology, such as Kanban or Scrum.

Why You’ll Love Method

🌐 Flexible hybrid work model – designed to support work-life balance while maintaining strong team collaboration; employees work from our downtown Toronto office 2–3 days per week

🎉 Collaborative and social team culture – work in a supportive environment with regular team events and company-wide celebrations that keep things fun and connected

🚀 Growth-stage company experience – working at a scaling growth company like Method gives you deep insight into how a software company operates. You'll be involved in a wide range of discussions and initiatives, gaining experience that's hard to find in more siloed environments.

📚 Training – You will receive initial and ongoing training on Method’s products, policies and procedures as well as a quarterly professional development budget.

📍Great downtown location – Method is located right in the heart of Toronto’s young and vibrant ‘King West’ technology hub at the corner of Adelaide and Spadina Ave.

🩺 Comprehensive health benefits – inclusive of healthcare, vision, and dental coverage to support your overall well-being

🥗 Weekly lunch credit – enjoy a meal on us every week as a small way to say thanks

What to Expect in Your First 90 Days:

• Onboard and acclimate with the Development team.

• Understand Method’s values and how our teams collaborate to drive results.

• Learn and become an expert of our internal communication tools, norms, and practices.

• Complete Method’s Bootcamp

• Work with your manager to build out tailored goals and a plan to set you in the right direction for the upcoming quarter.

• Contribute to the Development team's culture, processes, and best practices

• Write test cases and begin adding test cases to our automation framework.

• Build relationships with developers, product and other QA engineers.

• Complete training on Method process and tools used in Methods development process

• Raise your hand and get involved in new QA projects and initiatives.

Job type: Full-time permanent.

Compensation: $65,000 - $80,000 per annum.

This is an active role we are currently hiring for, and we thank all applicants for their interest. Only candidates selected for an interview will be contacted. We kindly request that recruiting agencies do not contact us regarding this position.

AI in Recruitment

At Method, we use artificial intelligence (AI) to help support and enhance our recruitment process. These tools may assist with tasks such as resume screening, drafting job descriptions, generating initial interview questions, transcription, and occasionally sourcing candidates.

AI is never used to make final hiring decisions. All hiring decisions are made by our team. Our use of AI is intended to support administrative and repetitive tasks, helping us streamline our workflows while maintaining a thoughtful and human-centered hiring experience.

We are committed to the responsible and ethical use of AI in our recruitment practices. Our standardized hiring processes are designed to reduce bias and promote fairness, and we regularly review and refine our practices to align with evolving industry standards and legal guidelines.

Method is an equal opportunity employer for all — regardless of race, colour, ancestry, religion, gender identity, sexual orientation, age, marital status or able-bodiedness. As part of our commitment to be an inclusive and accessible workplace, we’re happy to provide accommodations for candidates taking part in the selection process.