Software QA Engineer

Radicle Health is a collection of human services software products designed to foster collaboration and innovation, helping organizations better serve their communities. We believe technology plays a crucial role in the success of the human services sector, but no single system can meet the diverse needs of every agency. That’s why we’ve built Radicle Health as a home for mission-driven products that support organizations in delivering essential services. Under one roof, our teams learn from each other, test ideas faster, and think holistically about the individuals and communities we serve.

At Radicle Health, you'll do meaningful work alongside people who genuinely care about our mission, our customers, and each other. Here, you're free to show up as your full self, celebrating wins, having fun, and knowing you're truly part of something bigger. You will have real ownership of your work and your contributions will have a direct impact on our success. We're invested in your growth because when you grow, so do we.

About the Role

As a Software QA Engineer, you will work closely with engineers and product teams to make sure our software works as intended and remains reliable as it changes. You will help understand requirements, identify risks, develop and execute tests, investigate issues, and clearly communicate what you find.

You will use Claude Code as a daily tool to help create and refine test scenarios, explore edge cases, understand unfamiliar areas of the application, investigate failures, support test automation, and help us continuously improve how we approach quality. We expect Software QA Engineers to use AI to make their work faster and more thorough while applying their own judgment to the results. AI can help you think through a problem, but you are still responsible for deciding what needs to be tested, whether the output is useful and correct, and when a different approach is needed.

Because we work with healthcare and human services data, good data-handling practices are also part of the job. You will be expected to follow Radicle Health's HIPAA and data-handling guidelines, including when using AI-assisted tools. Testing and investigation should use synthetic, mocked, or appropriately de-identified data rather than real customer PHI. When a testing need appears to require production data or PHI, you are expected to stop and escalate rather than making that decision on your own.

This is a mid-level engineering role. You will have support from experienced Software QA Engineers while building the product knowledge and technical depth needed to take increasing ownership of testing and product quality.

What You'll Do

Review requirements and acceptance criteria to understand expected behavior and identify unclear requirements, missing scenarios, edge cases, and potential risks.

Create, maintain, and execute test cases covering expected behavior, failure conditions, regression risks, and real user workflows.

Use Claude Code as part of your daily testing workflow to generate and refine test scenarios, identify possible edge cases, investigate defects, understand application behavior, and assist with automated testing.

Write clear and specific prompts that give AI tools the context needed to produce useful test scenarios, analysis, or code, and refine those prompts when the results are incomplete or off target.

Review and validate AI-generated tests, analysis, and code rather than assuming generated output is correct or complete.

Follow Radicle Health's data-handling and HIPAA guidelines during testing and investigation, including when using Claude Code or other AI-assisted tools. Use synthetic, mocked, or de-identified data in place of customer PHI and escalate when a testing need appears to require access to sensitive production data.

Identify, document, and track defects with clear reproduction steps, expected and actual behavior, supporting evidence, and enough context for the engineering team to investigate efficiently.

Investigate issues using tools such as SQL, browser developer tools, application logs, APIs, source code, automated tests, and AI-assisted analysis.

Use SQL to validate application data, investigate unexpected behavior, and support testing across product workflows.

Work with QA Automation Engineers to prioritize, and at times build and maintain, automated tests using tools such as Playwright, focusing automation on repetitive, high-value, and regression-prone workflows.

Contribute automated tests that run as part of our CI/CD pipeline and help maintain confidence as changes move toward production.

Work closely with engineers to reproduce issues, validate fixes, understand root causes, and identify potential regression impact.

Support accessibility testing, including relevant WCAG and Section 508 considerations, and apply basic security-conscious testing practices where appropriate.

Communicate testing progress, blockers, risks, and concerns clearly to the team.

Track testing activity, defects, and test coverage using Jira and XRay.

Build a strong understanding of our products, customers, QA practices, software development lifecycle, and the Health and Human Services domain.

Grow toward independently owning the testing approach and quality assessment for features and areas of the product.

What You Bring

0–5 years of experience in software quality assurance, software testing, software development, or equivalent demonstrated technical capability.

Working knowledge of SQL and the ability to write queries to validate data and investigate application behavior.

Strong attention to detail and an interest in understanding why software behaves the way it does, not just whether it passed or failed.

Clear written and verbal communication, especially when documenting unexpected or complex software behavior.

The ability to turn requirements and user workflows into meaningful test scenarios, including edge cases and failure conditions that may not be explicitly documented.

Curiosity and a willingness to dig into unfamiliar features, systems, and technical problems.

Comfort using AI-assisted engineering tools as part of your everyday work, including writing clear, specific prompts to generate useful test scenarios, edge-case suggestions, technical analysis, or defect investigation.

The judgment to recognize when an AI prompt or its output needs refinement, and to verify AI-generated suggestions, tests, analysis, and code before relying on them.

An understanding of responsible data handling and the importance of protecting PHI and other sensitive customer information during testing and technical investigation.

Exposure to automated testing tools or frameworks and an interest in building stronger automation skills.

Familiarity with CI/CD concepts and an understanding of how automated tests can be used to provide confidence throughout a development and deployment pipeline.

A collaborative approach to working with product managers, engineers, and other Software QA Engineers.

Experience with issue and test management tools such as Jira and XRay, or the ability to learn them quickly.

Helpful, but not required

Experience with Playwright or a similar browser automation framework

Experience using Claude Code with Playwright, including the Claude Playwright CLI or MCP-based workflows

Experience testing APIs

Experience with Git and source control workflows

Familiarity with CI/CD tooling such as GitHub Actions

Familiarity with browser developer tools, application logs, or other debugging techniques

Experience with accessibility testing, including WCAG or Section 508

Exposure to security testing or secure software development practices

Experience with healthcare billing software or healthcare billing workflows

What Success Looks Like

Early in the role, you will focus on learning our products, customers, tools, and testing practices. You should be able to reliably execute tests, create useful test cas