QA Engineer - Ostro

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a QA Engineer - Ostro based in Canada.

This role is focused on ensuring the quality, reliability, and scalability of a modern SaaS platform supporting the life sciences industry.
You will combine hands-on manual testing with automated quality practices to identify issues and strengthen software delivery.
The position offers significant ownership, giving you the opportunity to shape QA processes and improve testing efficiency with minimal oversight.
You will collaborate closely with Product, Engineering, Implementation, Customer Success, and Support teams to align on requirements and expected behavior.
The role also encourages exploration of emerging QA technologies, including AI-driven automation frameworks and LLM-based testing approaches.
You will contribute to CI/CD integration, regression and performance testing, and continuous improvements across the software development lifecycle.
This is an opportunity for a curious, analytical QA professional to directly influence product quality while helping define the future of modern software testing.

• Own software quality: Develop and execute comprehensive manual and automated test plans to ensure the reliability, functionality, and overall quality of SaaS applications.
• Identify and resolve defects: Detect, document, track, and communicate software defects while partnering closely with development teams to support efficient resolution.
• Build testing assets: Create and maintain test cases, automation scripts, test data, and other testing resources covering both functional and non-functional requirements.
• Collaborate across teams: Partner with Product, Engineering, Implementation, Customer Success, and Support teams to understand requirements, clarify expected behaviors, and ensure quality throughout delivery.
• Advance test automation: Research, evaluate, and implement modern AI-driven automation frameworks and LLM-based techniques to improve testing efficiency and coverage.
• Validate scalability and stability: Conduct regression and performance testing to verify system reliability and ensure the platform can scale effectively.
• Integrate quality into delivery: Connect automated test suites with CI/CD pipelines to streamline deployments and provide consistent quality checks throughout the release process.
• Communicate quality status: Prepare clear and structured test reports, progress updates, defect summaries, and other quality-related information for relevant stakeholders.
• Drive continuous improvement: Independently identify opportunities to strengthen QA processes, testing practices, and automation while taking ownership of quality outcomes.

Requirements

• QA experience: 3+ years of professional software quality assurance experience, with strong capabilities across both manual and automated testing.
• Automation expertise: Hands-on experience with testing frameworks such as Cypress, Playwright, or Selenium, combined with proficiency in JavaScript, Python, or Java.
• API testing: Proven ability to validate APIs using Postman, RestAssured, or comparable testing frameworks and tools.
• CI/CD knowledge: Practical understanding of CI/CD pipelines and experience integrating automated testing into environments such as Jenkins or GitLab CI/CD.
• AI and modern QA: Active interest in AI/ML-driven testing solutions, with enthusiasm for experimenting with LLM-based approaches and emerging QA methodologies.
• Analytical mindset: Strong attention to detail and the ability to identify complex edge cases, investigate problems, and reason through technical scenarios.
• Communication: Strong interpersonal and communication skills, with the ability to collaborate effectively across Development, Implementation, Customer Support, Product, and other teams.
• Ownership and autonomy: Self-motivated and disciplined, with the ability to prioritize work, solve problems independently, and take responsibility for outcomes without requiring close supervision.
• Additional experience: Familiarity with SaaS environments, website-based software deployment, cloud platforms such as AWS or GCP, and AI-driven test automation or LLM-based QA methodologies is considered an advantage.

Benefits

• Healthcare coverage: Medical, dental, and vision insurance.
• Life insurance: Basic life insurance coverage.
• Paid time off: Flexible PTO and company-paid holidays.
• Retirement: Access to retirement programs.
• Charitable giving: Participation in a 1% charitable giving program.
• Compensation: Base salary range of $70,000–$120,000 , with actual compensation determined according to factors such as experience, location, qualifications, and expected contribution.
• Additional compensation: The role may also be eligible for other forms of compensation, including variable bonuses and/or stock bonuses.