QA Engineer II - Marketing

Memorial Sloan Kettering Cancer Center•New York, NY

1d•$113,100 - $180,900•Hybrid

About The Position

Memorial Sloan Kettering (MSK) is a world-leading cancer center dedicated to advancing patient care, research, and education. Our digital platforms play a critical role in connecting patients, caregivers, healthcare professionals, and the public with trusted information and services. We are seeking a senior-level QA Engineer II to lead quality assurance efforts for MSKCC.org and SloanKettering.edu. This hands-on individual contributor will drive automated testing strategy while executing manual and automated testing, partnering closely with product, UX, and engineering teams to ensure reliable, secure, and high-quality digital experiences.

Requirements

4+ years of experience in software quality assurance, with a strong focus on test automation.
Experience using agentic AI to create or improve automation test suites.
Hands-on experience developing automated tests using JavaScript-based testing frameworks.
Experience with WebdriverIO or Playwright strongly preferred.
Working knowledge of PHP, JavaScript, HTML, CSS, and modern web application architecture.
Experience working within Agile/Scrum software development environments.
Familiarity with regulated digital environments and requirements such as HIPAA, accessibility standards, privacy regulations, and secure web applications.

Responsibilities

Lead quality assurance efforts across MSK's web applications and digital platforms.
Design, develop, and maintain automated test suites using JavaScript-based frameworks.
Build and enhance current automated testing solutions using WebdriverIO, and support the evaluation and proof-of-concept exploration of Playwright for future automation initiatives.
Proactively engage product owners, designers, and engineers to gather undocumented requirements and reverse-engineer specifications from existing functional sites.
Participate in proof-of-concept efforts and evaluation of Playwright for future automation initiatives.
Perform hands-on manual testing to validate new features, bug fixes, and production releases.
Execute functional, regression, integration, and end-to-end testing across multiple web properties.
Use AI to more efficiently and effectively build and maintain automated test suites.
Partner with product owners, designers, developers, and business stakeholders to understand application functionality and testing requirements.
Contribute strategically to QA processes, automation roadmaps, test coverage improvements, and quality standards.