QA & Automation Engineer

About the role

Join Us in Revolutionizing Oncology Care

At Canopy, we’re transforming healthcare for cancer patients by shifting from episodic treatment to continuous, patient-centered care. Our technology empowers patients to manage symptoms and access support anytime, anywhere, ensuring they never feel alone. With Canopy, the clinic is always with them.

Our innovative approach enhances the patient experience while aligning clinic success with better health outcomes, creating a true win-win. By driving a 20% increase in treatment adherence and strengthening patient-provider connections, Canopy delivers life-saving results while elevating patient satisfaction to new heights.

Join us in shaping the future of oncology care. 🌿

Your Mission

As a QA & Automation Engineer at Canopy, you will help ensure we ship reliable, thoughtful, and high-quality product experiences for patients, care teams, and customers.

This is first and foremost a QA role. We are looking for someone with strong analytical thinking, solid manual QA foundations, and real experience understanding product behavior, user flows, edge cases, and quality risks.

You will work closely with Product, Engineering, Design, Customer Success, and Clinical teams to analyze new features, identify gaps early, define strong testing coverage, and improve the way we test and release software.

Automation is also part of the role, but not in the sense of hardcore software development. We are looking for someone with enough technical ability to use AI models and tools to build, maintain, and expand automation coverage over time.

This role is about more than finding bugs. It is about raising the quality bar for everything we build.

What You’ll Do

- Create detailed test specifications for new features (AI assisted), covering expected behavior, user flows, system dependencies, edge cases, regression risks, and acceptance criteria.

- Review product specs, designs, and requirements to identify missing logic, unclear behavior, usability issues, and potential product or business risks.

- Create and execute manual test plans for web applications, backend workflows, APIs, integrations, internal tools, and cross-system product flows.

- Use strong analytical thinking to understand complex flows, break them down into testable scenarios, and define the right level of coverage.

- Investigate and validate product behavior using APIs, database queries, browser DevTools, logs, staging environments, and other technical tools.

- Report bugs clearly, including reproduction steps, expected behavior, actual behavior, severity, impact, and supporting evidence.

- Build and maintain automated tests using AI and existing automation frameworks.

- Extend and constantly improve our AI driven internal solution to accelerate test creation, coverage analysis, regression planning and QA documentation.