Senior quality engineer [h1.location_city]
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Senior quality engineer • seattle wa
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At MediScan AI, we're building an.Our tools empower users to process vast amounts of medical data efficiently, enabling faster, more accurate decision-making.
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Salary range updated, see changes below.Applications will be accepted on an ongoing basis until the requisition is closed.
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Senior Quality Assurance Engineer
MediScan AISeattle, WA, US[job_card.variable_days_ago]
[job_preview.job_type]
- [job_card.full_time]
[job_card.job_description]2+ years of experience as a QA Engineer working on production software. Strong UX / UI intuition with a proven ability to identify usability issues and translate them into clear, actionable tickets. User experience is core to our product quality. Experience testing modern web applications , including thorough UI, feature, and regression testing. Comfort collaborating closely with engineers, designers, and product stakeholders to ensure quality is embedded throughout the development lifecycle. Experience working within a software development team , understanding release cycles, acceptance criteria, and agile workflows. Familiarity with project management and ticketing tools such as Jira, Linear, or similar systems. Excellent communication and documentation skills , with the ability to clearly describe bugs, edge cases, and quality risks. Strong ownership mindset —you care deeply about product quality and take responsibility for releases end-to-end. Some coding experience used to support test automation (especially front-end testing). Experience with TypeScript and frontend testing frameworks (e.g., Playwright, Cypress, Jest). Experience managing or maintaining automated test suites , including improving coverage and reliability over time. Past experience in a quality leadership or mentorship role , such as setting QA standards, reviewing test plans, or guiding other QA contributors. Background working in fast-growing startups or environments where processes are built and refined from scratch. Interest in helping scale a quality organization , with aspirations toward future leadership as the team grows. Exposure to healthcare, legal, or regulated domains (not required, but a plus). An opportunity to make a direct impact in a fast-growing startup. Competitive salary, equity, and benefits. Equity. Hybrid Work Model with Flexible Hours.
Company Description
At MediScan AI, we're building an AI-native workspace designed for physicians and legal teams to analyze and report on complex, disorganized patient histories. Our tools empower users to process vast amounts of medical data efficiently, enabling faster, more accurate decision-making.
As a team, we focus on blending cutting-edge AI technologies with intuitive, user-focused design to tackle one of the most underserved pain points in the med-legal industry. By joining MediScan AI, you'll have the chance to work on meaningful challenges—building scalable solutions for messy, real-world problems—and make an immediate impact at a fast-growing startup.
We're not just solving technical problems; we're transforming how work gets done in med-legal, helping professionals unlock productivity and focus on what matters most.
What You'll Do
- Own and manage the quality of each release : Take full ownership of quality assurance processes to ensure every release meets our high standards.
- User interface and feature testing : Conduct thorough testing of UI elements and new features to identify bugs, usability issues, and opportunities for improvement.
- Collaborate closely with design and leadership : Work hand-in-hand with the design team and CEO throughout the feature design and rollout process to ensure quality is embedded from the start.
- Develop and maintain test scripts and plans : Build comprehensive test documentation, scripts, and plans to ensure consistent and repeatable testing processes.
- Manage project management tickets : Review our ticketing system and collaborate with engineers to verify that tickets are complete, accurate, and meet acceptance criteria.
- Ensure AI-generated record review quality : Long-term, take ownership of the quality and accuracy of AI-produced medical record reviews, learning the nuances to distinguish between good and bad outputs.
Qualifications
Must-Haves :
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What We Offer