Megan Carey is a Lead Software Engineer based in Austin with 11 years of software engineering experience across Salesforce, GoodRx, and Cash App, where she advanced from intern roles to technical leadership. She blends hands-on engineering and quality/scaled testing expertise—having built Selenium-based QA frameworks and shipped cross-platform tooling—to drive reliable production systems. Trained in both Computer Science and Cognitive Science at UC Berkeley, she applies cognitive insights to neural modeling and product design. Megan’s background includes teaching Python and developing curricula for diverse research audiences, a signal of her ability to translate complex technical concepts for broader teams. Colleagues rely on her for pragmatic, test-driven approaches that scale in high-velocity fintech and healthcare environments.
11 years of coding experience
7 years of employment as a software developer
Bachelor’s Degree, Computer Science, Cognitive Science, Bachelor’s Degree, Computer Science, Cognitive Science at University of California, Berkeley
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