QA Engineer
Posted October 22, 2026
Job Description
- About Us Fours (formerly Suger.io) helps B2B software companies sell through cloud marketplaces like AWS, Azure, GCP, Oracle, Alibaba, and Snowflake - now one of the fastest-growing enterprise sales channels. Today, we’re working 300 amazing customers, ranging from enterprises like Snowflake, Workday, Intel to the top AI-native companies like the main AI labs, OpenAI, Decagon, Glean, etc. We're hiring a QA Engineer based in to join our growing Engineering team. You'll own quality across our platform - a system that integrates deeply with AWS, GCP, and Azure Marketplace APIs as well as core systems like Salesforce and HubSpot - and help us ship fast without breaking things for customers who depend on us to get their deals paid. This is a hands-on role spanning manual and automated testing. You'll build test plans against new features, write and maintain automated test suites, chase down and document bugs with enough detail that engineering can act on them immediately, and be a gatekeeper for release quality across web app and API surfaces. We are a Series A startup, funded by top-tier investors, including Threshold VC, Craft Ventures, Intel Capital, and Y Combinator. This is a hybrid position, requiring 4 days per week in our Vancouver office (321 Water St.) *Please note that fluency in both English and Mandarin is required for this position.
- What You'll Own Test Planning & Execution Design and execute test plans for new features and releases, covering functional, regression, and edge-case scenarios Write clear, structured test cases from product specs and user stories Perform manual exploratory testing across web application and API surfaces Validate integrations with cloud marketplace APIs (AWS, GCP, Azure Marketplace) and CRM systems (Salesforce, HubSpot) Test Automation Build and maintain automated test suites for critical user flows and API endpoints Integrate automated tests into CI/CD pipelines to catch regressions before release Continuously expand automated coverage as the product surface grows Bug Management & Quality Gatekeeping Identify, document, and prioritize bugs with clear repro steps, logs, and screenshots Triage issues with Engineering and Product, and verify fixes before closure Own release sign-off - confirm build quality before features ship to customers Track quality metrics (bug counts, escape rate, test coverage) and flag trends Cross-functional Collaboration Partner with Engineering during sprint planning to flag testability and edge-case risks early Work with Product Support and Customer Success to reproduce and validate customer-reported issues Contribute to internal QA documentation, test playbooks, and best practices
- What You Need Proficiency in Mandarin to collaborate effectively with our APAC engineering team. 3+ years of QA experience in a SaaS or B2B software environment Solid grasp of manual testing methodology - test case design, regression testing, exploratory testing Experience with test automation frameworks and willingness to write/maintain automated tests Comfortable testing REST APIs and reading logs to diagnose issues Excellent written English and bug-reporting skills - you can write a repro steps that lets an engineer fix the issue without back-and-forth Self-starter who takes ownership without heavy oversight, comfortable in a fast-paced startup environment High attention to detail and a quality-first mindset
- Why Join Us Salary: $80,000 - $100,000 CAD/year. Work alongside a top-notch team with experience at companies like Google, Meta, Salesforce, Pave, Motive, and Square. Own a major pillar of our go-to-market strategy from day one Competitive compensation and equity plan. Full healthcare benefits - extended health care, dental, vision, and life insurance. Fast-moving, flat org structure with real product-market fit and big ambitions.
- We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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