Lydia Mc Shane

Software Quality Assurance Engineer @ Device42

About Lydia Mc Shane

Lydia Mc Shane is a Software Quality Assurance Engineer at Device42, where she specializes in functional and UI/UX testing. She has experience in transitioning software architectures and developing comprehensive test plans to ensure product quality.

Work at Device42

Lydia Mc Shane is currently employed as a Software Quality Assurance Engineer at Device42, a position she has held since 2023. Her role involves ensuring the quality and functionality of software products, particularly during architectural conversions. She specializes in functional and UI/UX testing, focusing on the accurate display and behavior of data from APIs within Vue components. Lydia's responsibilities include developing comprehensive test plans and executing regression tests to maintain existing application functionality.

Previous Experience at Target

Before joining Device42, Lydia worked at Target as a Fulfillment Expert Operations for six months in 2022. This on-site role in Austin, Texas, involved managing operations related to order fulfillment. Her experience at Target contributed to her understanding of operational processes and quality assurance in a retail environment.

Education and Expertise

Lydia studied Computer Science at Hawaii Pacific University for nine months from 2014 to 2015, achieving some college credit. She completed her high school education at Sacred Hearts Academy, obtaining a High School Diploma in 2014. Her educational background provides a foundation for her expertise in software quality assurance, particularly in functional and UI/UX testing.

Technical Skills and Testing Methodologies

Lydia specializes in various testing methodologies, including functional testing, UI/UX testing, and regression testing. She plays a key role in transitioning software architectures, notably moving a Django administrative list page to a Vue-based architecture. Her technical skills include developing detailed test cases, ensuring testing environments mimic production settings, and verifying core functionalities such as data retrieval, sorting, filtering, and CRUD operations.

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