Senior QA Lead (Player-Coach)

Handtevy-Pediatric Emergency Standards•Davie, FL

About The Position

Handtevy is a healthcare SaaS company providing tools for evidence-based medication dosing, standardized clinical protocols, and real-time coordination in emergency medical services. Quality is treated as a patient-safety function because the platform is used by first responders and clinicians in high-stakes environments. The Senior QA Lead is a hands-on player-coach who spends most of the week building automation, writing tests, and identifying issues before customers encounter them, while also coaching QA engineers, setting standards, and assessing release readiness. The role joins an established QA team and owns test strategy across web, mobile, and backend systems, helping the automation practice grow as the company scales. The position also raises the team's effective use of AI tools in testing. The engineering stack includes Angular, Tailwind, NestJS, Ionic Capacitor, Aurora MySQL, DocumentDB, and AWS. The team uses AI-assisted development tools including Claude Code and GitHub Copilot and has Generative AI initiatives in its product ecosystem.

Requirements

At least 7 years of experience in QA or SDET roles.
At least 2 years leading or mentoring QA engineers while remaining hands-on.
Strong automation skills in TypeScript or JavaScript.
Experience building or substantially shaping at least one test automation framework, such as Playwright, Cypress, or WebdriverIO.
Experience automating mobile app testing with Appium, Detox, or a similar tool; hybrid-app experience is preferred.
Solid API testing experience with REST services.
Experience integrating test suites into CI/CD pipelines, such as GitHub Actions.
Current, practical experience using AI tools in QA, including the ability to explain their uses, benefits, and limitations.
Strong test design skills, including risk-based prioritization, boundary analysis, and judgment about what not to automate.
Clear communication with engineers, product teams, and leadership, including the ability to make and defend release decisions.
Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
Must be authorized to work in the United States; work visa sponsorship is not available.

Nice To Haves

Experience in healthcare, medical devices, or other safety-critical or regulated environments.
Experience testing clinical calculations, medication dosing logic, or similar high-consequence rules.
Familiarity with NEMSIS, FHIR, HL7, or other healthcare data standards.
Experience evaluating or testing LLM-powered features.
Performance, load, or accessibility (WCAG) testing experience.
Familiarity with observability platforms such as Datadog.
Experience working in a SOC 2 or similarly compliance-driven environment.

Responsibilities

Design, build, and maintain automated test suites for the Angular web platform, Ionic Capacitor mobile app, and NestJS APIs.
Write TypeScript automation alongside engineering in the same repository and pipeline.
Own test architecture, including framework choices, test data strategy, test environments, and CI execution.
Use AI-assisted tools to generate test cases, expand coverage, maintain suites, and triage failures, and teach the team effective use of these tools.
Track flaky tests and address their root causes.
Own and extend automated coverage for critical clinical logic, including weight- and age-based medication dosing, clinical protocols, and high-risk edge cases.
Partner with the clinical team to convert clinical rules into verifiable test cases.
Validate integrations with third-party ePCR partners, including ESO and ImageTrend, and NEMSIS data exchange.
Help test AI-powered product features and evaluate outputs before they reach clinical users.
Mentor QA engineers in automation, test design, and AI tool use through pairing and code review.
Define risk-based test strategies for releases and establish release-readiness criteria, including making and communicating go/no-go recommendations.
Strengthen QA participation in refinement so acceptance criteria and test expectations are clear before development begins.
Track and improve quality metrics, including critical-path automated coverage, escaped defects, regression cycle time, and flaky-test rate.
Work closely with engineering, DevOps, and Product teams.
Support production monitoring and incident response by providing fast, well-documented reproductions.
Contribute audit-ready test evidence for the SOC 2 program.