Quality Assurance Automation Engineer

HI! I'm Dylan, one of the engineering managers at Enso Data and we are looking for another great teammate passionate about Making Healthcare Better! This hybrid position in Madison, WI offers a competitive salary of $100,000 to $110,000 along with bonus program, stock options and generous benefits, including paid time off.

The QA automation engineer is a critical role responsible for ensuring the quality and regulatory compliance of Enso Data’s technology. This position is the first of its kind at Enso Data and will lead the architecture, design, and implementation of a new end-to-end (E2E) UI automation framework from the ground up for our web and mobile applications.

This team member will be responsible for building the position from the ground up by developing our automation strategy, verifying system requirements, and supporting critical quality improvement initiatives within our ISO 13485:2016 certified and FDA QSR-compliant Quality Management System (QMS).

Primary Responsibilities include but are not limited to:

Automation Architecture & Strategy

• Architect, build, and maintain a robust, scalable, and maintainable E2E automation framework (e.g., using Playwright) from scratch.
• Design and implement effective test data creation, cleaning, and management strategies.
• Define, monitor, and report on key quality metrics to drive product and process improvements.

Testing & Verification

• Develop and execute automated verification test cases and procedures to verify system requirements for our Software as a Medical Device (SaMD) products.
• Break down feature components and design specifications into structured test plans, considering functionality, user experience, and regulatory risks.
• Develop and manage verification testing, which may be manual, semi-automated, or fully automated.
• Integrate automation tests into CI/CD pipelines to provide rapid feedback to the engineering team.

Collaboration & Compliance

• Act as the subject matter expert for testing processes, ensuring regulatory compliance (FDA QSR, ISO 13485) through rigorous software testing, issue tracking, and documentation.
• Collaborate closely with design, engineering, and product teams to identify gaps, mitigate risks, and ensure quality is built into the development lifecycle.
• Work with customer success and engineering teams to investigate, reproduce, and verify bug fixes.
• Write and improve process documents related to the software testing lifecycle.

Enso Data strives to make healthcare more accurate, efficient, and affordable through waveform artificial intelligence (AI) technology. Using AI and machine learning, our software analyzes billions of data points collected from sensors placed throughout the human body. Our first solution, Enso Sleep, reduces the time clinicians spend analyzing, scoring and managing sleep studies. This results in a simplified and accelerated patient testing, diagnosis, and treatment workflow.

Our AI-powered technology has the capability of informing health decisions beyond sleep medicine, from monitoring patient health in the ICU or through wearables, to detecting and capturing seizure data, to providing earlier detection of heart disease, diabetes, stroke, and Alzheimer’s.

Here is a little about what we are doing in the world of sleep medicine...

Enso Sleep - FDA-Cleared PSG and HSAT Scoring and Study Management

EnsoHST- FDA-Cleared, AI-Powered Sleep Diagnosis Using Pulse Oximeters

Here is a link to learn a little about our Celeste app!

Education and Experience

• Bachelor's degree in Computer Science, Biomedical Engineering, or equivalent work experience.
• 5+ years in Quality Assurance or a related technical role.

Minimum Qualifications

• Proven experience building an E2E automation framework from the ground up.
• Strong proficiency with a scripting language (e.g., Python, JavaScript/Type Script) for writing automated tests.
• Direct experience with modern UI automation tools (e.g., Playwright, Cypress, Selenium).
• Experience designing automated test frameworks using Page Object Model (POM) and Behavior-Driven Development (BDD) with Cucumber.
• Familiarity with CI/CD practices and tools (e.g., Bit Bucket Pipelines, Jenkins, Git Lab…