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Tier-1 brand, metro location, mid-level generalist QA title and 5+ years increase applicant competition.
Automation skills are transferable, but PDM/PLM and AI-assisted testing experience increase domain specificity.
Explicit 5+ years plus required automation frameworks and scripting languages enforce moderate screening.
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Design, develop, and evolve AI-assisted test automation strategies for Autodesk Upchain’s PDM/PLM solutions to improve software quality and release reliability.
Collaborate with Agile/Scrum teams to translate customer workflows and product requirements into automated test coverage across web, API, backend, and cloud systems.
Leverage AI tools such as Claude Code and automation frameworks like Playwright or TestComplete to enhance test creation, execution, analysis, and maintenance, supporting CI/CD quality practices.
Bachelor’s degree in Computer Science, Software Engineering, Data Science, AI/ML, or related field, or equivalent practical experience.
Minimum 5 years of experience in software quality engineering, test automation, or SDET roles validating web applications, backend systems, APIs, or cloud-based software.
Experience with automated testing frameworks such as Playwright, TestComplete, Selenium, or similar, and programming/scripting in JavaScript, TypeScript, Python, or Java.
Familiarity with AI-assisted development tools (e.g., Claude Code, GitHub Copilot), API testing tools and REST APIs, and Agile QA methodologies is mandatory.
Experienced in integrating AI and automation to improve testing processes and defect analysis within enterprise or customer-facing software environments.
Skilled in designing end-to-end workflow-focused tests across complex systems including cloud-native or AWS-based platforms.
Proficient in implementing responsible AI practices including validation and governance of AI-generated outputs in quality engineering contexts.