Sr. Software QA Engineer
$105,000–$135,000 year
On-siteDowningtown, Pennsylvania, United States
Job Summary
Own and drive QA strategy for key software products, including test architecture, coverage models, and quality standards across Agile sprint execution and product release cycles. Establish and enforce testing standards and best practices across coding guidelines, test documentation, TeamCity CI/CD quality gates, and Jira defect lifecycle management. Champion quality early in the development lifecycle by participating in requirements reviews, architecture discussions, and sprint grooming for HCS.ai and IN Carta® workflows. Mentor junior and mid-level QA engineers through test case reviews, test script reviews, technical guidance, and knowledge sharing. Drive continuous improvement of QA processes using Danaher Business System principles to reduce waste, rework, and systemic quality gaps, while collaborating with cross-functionally with software engineers, product owners, application scientists, and hardware teams. This role defines test architecture, coverage models, and quality standards to reduce release risk and improve product readiness across complex life-science software workflows.
Required Qualifications
- Bachelor's degree in Computer Science, Software Engineering, or a related technical field
- 5+ years experience in software quality assurance, including ownership of test strategy and automation architecture for complex software products
- Hands-on proficiency with modern end-to-end automation frameworks such as Cypress, Playwright, or equivalent tools
- Scripting experience in TypeScript, Python, or C#
- Experience configuring or using CI/CD pipelines such as TeamCity, Jenkins, or GitHub Actions to support quality gates, build health monitoring, and pipeline reliability
- Advanced experience using Jira for defect lifecycle management, test planning, sprint reporting, and cross-team quality visibility
- Ability to work in an office and laboratory/instrument environment as needed to support software verification and instrument-software integration testing
- Occasional travel for cross-site collaboration, product validation, or team/customer engagement
Desired Qualifications
- Master's degree
- Previous experience in HCS.ai, IN Carta®, or similar high-content imaging and analysis software platforms in a life science or laboratory automation environment
- Hardware-software integration testing for lab instrument systems such as imaging platforms, automated liquid handlers, or robotic workflows
- Professional use of AI-assisted development tools such as GitHub Copilot for test script generation, refactoring, migration support, or coverage gap analysis
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