Senior QA Lead; Player-Coach

Please note:

We are not working with recruiters at this time. Candidates must be authorized to work in the United States. We are unable to sponsor work visas for this position.

About Handtevy

Handtevy is a healthcare SaaS company whose platform is used by hospitals, EMS agencies, and healthcare organizations to deliver evidence-based medication dosing, standardized clinical protocols, and real-time coordination tools for emergency medical services.

Our technology supports first responders and clinicians in high-stakes environments where clarity, speed, and reliability are critical. Our applications are used in ambulances, emergency departments, and healthcare systems every day. When a paramedic calculates a pediatric dose in our app, it has to be right. Quality here is a patient safety function, not a checkbox.

We are looking for a Senior QA Lead who leads from the front. This is a player-coach role: you will spend most of your week hands-on, building automation, writing tests, and breaking things before our customers can. The rest goes to coaching QA engineers, setting standards, and deciding when a release is actually ready.

You’ll join an established QA team with an existing automation practice and help it grow as the company scales. You will own test strategy across our web, mobile, and backend systems, and you will raise the bar on how the team uses AI tools to test faster and deeper. We want someone who shows the team what good looks like by doing it first.

• Design, build, and maintain automated test suites for our Angular web platform, Ionic Capacitor mobile app, and NestJS APIs.
• Write automation in Type Script alongside the engineering team, in the same repo and pipeline.
• Own test architecture: framework choices, test data strategy, environments, and how tests run in CI.
• Use AI-assisted tools daily to generate test cases, expand coverage, maintain suites, and triage failures, then teach the team to do the same well.
• Keep the suite trustworthy by tracking flaky tests and fixing root causes quickly.

• Own and extend automated coverage of the logic that matters most: weight- and age-based medication dosing, clinical protocols, and edge cases where a wrong value could reach a patient.
• Partner with our clinical team to turn clinical rules into verifiable test cases.
• Validate integrations with third-party ePCR partners (such as ESO and Image Trend), including NEMSIS data exchange.
• Help test AI-powered features in our SaaS platform, including how outputs are evaluated before they reach clinical users.

• Mentor QA engineers on automation, test design, and effective AI tool usage through pairing and code review.
• Define a risk-based test strategy for each release so effort goes where the risk is.
• Establish clear release readiness criteria and give engineering leadership an honest go/no-go call.
• Deepen QA’s role in refinement so acceptance criteria and test expectations are clear before development starts.
• Track and improve quality metrics: automated coverage of critical paths, escaped defects, regression cycle time, and flaky test rate.

• Work closely with our Engineers, Dev Ops, and Product teams.
• Support production monitoring and incident response with fast, well-documented reproduction.
• Contribute audit-ready test evidence to support our SOC 2 program.

• We build with Angular, Tailwind, NestJS, Ionic Capacitor, Aurora MySQL, Document DB, and AWS.
• We use AI-assisted development tools such as Claude Code and Git Hub Copilot across engineering and QA.
• We have active initiatives using Generative AI within our product ecosystem.
• We invest in observability and testing frameworks that give us…