Software Quality Engineering Lead
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Job Description
Software quality engineering lead building testing and verification for UpDoc’s clinically validated AI chronic-disease platform. Establishing regulated, risk-based quality practices and automation.
Responsibilities:
- Build and lead UpDoc’s software quality engineering function, including strategy, standards, infrastructure, tooling, and processes
- Own the risk-based test strategy across patient- and provider-facing products, backend services, APIs, integrations, and clinical workflows
- Partner with Engineering and Quality/Regulatory to translate design controls, software lifecycle requirements, and risk-management activities into verification practices
- Establish traceability between software requirements, risks and controls, verification activities, and objective evidence
- Design, build, and maintain automated test frameworks and suites, complemented by manual and exploratory testing
- Improve testability, identify edge cases and failure modes, and define verification methods before defects reach production or formal verification
- Investigate complex software failures using code, logs, network requests, databases, and debugging tools
- Establish standards for defect documentation, investigation, prioritization, resolution, and verification
- Define release-readiness criteria and provide evidence-based assessments of verification status, residual issues, and release risk
- Integrate automated testing into CI/CD workflows while maintaining regulated-software controls and evidence
- Continuously improve test environments, test data, tooling, metrics, and engineering practices
- Foster a culture of shared quality and reliability responsibilities while helping shape and grow the software quality engineering team
Requirements:
- 7+ years of experience in software quality engineering, SDET, test automation, or a similar engineering-focused quality role, including senior or technical leadership experience
- Experience establishing, leading, or significantly scaling software quality engineering practices
- Experience developing and testing software in a regulated medical device, SaMD, or similarly safety-critical environment
- Strong working knowledge of software verification, design controls, risk management, traceability, and objective test evidence
- Strong software engineering skills and hands-on experience building automated tests in Python, TypeScript, JavaScript, or another modern programming language
- Experience designing and maintaining automated testing frameworks rather than relying primarily on manual testing
- Strong experience testing modern web applications, backend services, REST APIs, integrations, and complex end-to-end workflows
- Experience with functional, integration, regression, end-to-end, exploratory, and risk-based testing
- Experience with browser automation frameworks such as Playwright, Cypress, Selenium, or similar tools
- Experience integrating automated testing into CI/CD pipelines
- Ability to read application code and use logs, network requests, databases, and debugging tools to investigate complex failures
- Strong judgment around software and product risk, including the ability to distinguish safety- or clinically significant issues from lower-impact defects
- Ability to establish practical processes in a fast-moving environment while maintaining appropriate rigor and independence in software verification
- Excellent written and verbal communication skills across Engineering, Product, Clinical, and Quality/Regulatory teams
- Comfort operating independently, taking ownership, and remaining hands-on in an early-stage startup
- Highly desired: experience with FDA-regulated medical device software or SaMD, IEC 62304, ISO 14971, clinical workflows, AI/LLM products, mobile/PWA testing, healthcare integrations/EHR/FHIR, performance/reliability/security/load testing, cloud architectures, CI/CD, and mentoring quality engineers
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