Quality Assurance Engineer

About Plenful Plenful is on a mission to transform healthcare operations from the inside out. Fresh off our $50M Series B and backed by Notable Capital, Bessemer Venture Partners, TQ Ventures, Susa/Kivu Ventures, and other leading investors, we’re building the category-defining AI workflow automation platform that healthcare teams rely on to operate smarter, faster, and more efficiently. Our technology empowers healthcare operators across hospital and health systems, pharmacies and payors to eliminate manual work, reduce administrative burden, and improve compliance, all while unlocking critical revenue to fund programs for their in-need patient populations.

Built by healthcare operators for healthcare operators, Plenful is driven by a deep understanding of the challenges facing today’s care teams. We’re passionate about equipping healthcare workers with world-class tools that deliver real, measurable impact, and we’re proud to serve 90+ leading health systems across the country. If you’re excited to help shape the future of healthcare, we’d love to meet you.

We're looking for a midlevel or Senior QA Engineer who's passionate about quality engineering, automation, and building scalable testing practices from the ground up. You'll help define the future of quality at Plenful, partnering closely with Engineering, Product, and Design to deliver reliable software at startup speed. In your first six months, you'll establish and improve automated testing coverage across our core platform, integrate automated testing throughout our deployment pipeline to reduce regression risk, and build the quality metrics that give engineering teams the confidence to ship faster without sacrificing reliability.

• Own quality strategy across multiple products and engineering teams
• Design, build, and maintain robust automated test suites for web applications, APIs, backend services, and integrations
• Develop testing frameworks that are scalable, maintainable, and integrated into CI/CD pipelines
• Partner with software engineers during feature development to identify quality risks early
• Define test plans, acceptance criteria, and release readiness for new product initiatives
• Perform exploratory, functional, regression, integration, and end-to-end testing where appropriate
• Drive automation-first testing practices while minimizing manual regression testing
• Work closely with Product Managers and Designers to ensure requirements are testable and complete
• Monitor production quality metrics and partner with engineering to investigate customer-reported issues
• Champion engineering excellence through code reviews of test automation, quality metrics, and continuous process improvements
• Mentor engineers on testing best practices and help build a culture where quality is everyone’s responsibility

• You have 7+ years of experience in Quality Assurance or Quality Engineering
• You've built automated testing frameworks for modern SaaS applications
• You've tested REST APIs and microservice-based architectures
• You have experience with YAML-based testing
• You're proficient with one or more automation frameworks — Playwright, Cypress, Selenium, or similar
• You write automated tests in Type Script, JavaScript, Python, Java, or C#
• You have a strong understanding of CI/CD pipelines and integrating automated testing into deployment workflows
• You have experience with Git, Git Hub, Git Hub Actions, and modern software development practices
• You're familiar with SQL and validating data across relational databases
• You have strong debugging and root-cause analysis skills
• You communicate well and collaborate easily across Engineering, Product, and Design

• Have tested AI or machine learning-enabled applications
• Have worked with healthcare software or in regulated environments
• Are familiar with Kubernetes, Docker, and cloud-native architectures
• Have experience with performance, load, or security testing
• Have tested workflow automation platforms or enterprise SaaS products
• Have exposure to observability platforms such as Datadog, Grafana, or similar
• Have worked in fast-paced startup environments

Technologies you'll likely…