Autodesk
Technology
SeniorSoftwareQAEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Software QA Engineer at Autodesk. Skills: AI-assisted testing, Test automation, Quality engineering. Collaborate as part of an Agile/Scrum team. Ensure user stories are validated”
Industry & Context.
Problem-solving; Navigate ambiguity; Develop practical, scalable quality approaches; Failure analysis
What They're Looking For.
Must Have
Bachelor's degree in computer science, Software Engineering, Data Science, AI/ML, or equivalent practical experience, 5+ years' Experience in software quality engineering, test automation, SDET, QA automation, or similar, Experience validating web applications, backend systems, APIs, or cloud-based software, Experience creating and maintaining automated tests using frameworks such as Playwright, Test Complete, Selenium, Cypress, or similar, Familiarity with AI-assisted software development or automation tools such as Claude Code, GitHub Copilot, or similar, Experience with one or more programming or scripting languages such as JavaScript, TypeScript, Python, or Java, Familiarity with API testing tools and practices, including REST APIs, Postman, Bruno, test data setup, and response validation, Understanding of Agile development practices, QA methodologies, and defect management processes, Experience with collaboration and tracking tools such as Jira, Confluence, or Xray, Problem-solving skills, Communication skills, Collaboration skills, Ability to navigate ambiguity, Develop practical, scalable quality approaches
Nice to Have
Experience applying AI or automation techniques to improve testing, defect analysis, or engineering productivity, Experience designing workflow-focused end-to-end testing for enterprise or customer-facing software systems, Familiarity with cloud-native or AWS-based systems, Experience with performance testing tools such as JMeter, BlazeMeter, or similar, Familiarity with observability, monitoring, logs, or reliability practices that support software quality, Understanding of responsible AI practices, including validation, governance, prompt quality, and limitations of AI-generated outputs, Familiarity with PDM, PLM, manufacturing, engineering, or enterprise workflow systems
What You'll Do.
Collaborate as part of an Agile/Scrum team
Ensure user stories are validated
Ensure acceptance criteria are met
Translate customer workflows into test strategies
Translate product requirements into test strategies
Translate user stories into test strategies
Develop automated test coverage
Design end-to-end workflow tests
Execute end-to-end workflow tests
Explore AI-assisted approaches for testing
Apply AI-assisted approaches for testing
Improve test creation
Increase test coverage
Reduce repetitive manual work
Develop automated tests
Maintain automated tests
Improve automated tests
Identify unstable automation
Identify high-maintenance automation
Improve automation reliability
Improve automation scalability
Improve automation maintainability
Perform functional testing
Perform regression testing
Perform integration testing
Perform exploratory testing
Perform performance testing
Perform risk-based testing
Evaluate software quality
Evaluate software performance
Evaluate software resilience
Evaluate software scalability
Partner with engineering teams
Identify validation needs earlier
Support CI/CD quality practices
Contribute to release readiness efforts
Analyze automation failures
Analyze quality trends
Identify improvement opportunities
Collaborate with cross-functional partners
Define quality metrics
Evolve quality metrics
Define testing practices
Evolve testing practices
Promote responsible use of AI in quality engineering
Validate AI-generated outputs
Review AI-generated outputs
Contribute reusable testing patterns
Contribute reusable workflows
Contribute reusable automation practices
Improve team productivity
How You'll Work.
Team & Collaboration
Agile/Scrum team; Engineering teams; Product teams; Quality teams; Cross-functional partners
Process & Methodology
Agile, Scrum
Full Job Description
**Job Requisition ID #** 26WD98374 **Position Overview** Autodesk is looking for an AI-Powered Quality Automation Engineer to join our Upchain team. Our team develops, maintains, and supports components of Autodesk Upchain, with a focus on PDM/PLM solutions and services that help customers manage complex product development workflows. In this role, you will help design, develop, and evolve AI-assisted test automation strategies that improve system resilience, support faster and more reliable releases, and contribute to high-quality software experiences for our customers. You’ll collaborate closely with engineering, product, and quality teams to shift quality earlier into the development process and explore opportunities where AI can support test creation, execution, analysis, and maintenance. **Responsibilities** * Collaborate as part of an Agile/Scrum team to help ensure user stories are validated and acceptance criteria are met * Translate customer workflows, product requirements, and user stories into practical test strategies and automated test coverage * Design and execute end-to-end workflow tests across web applications, APIs, backend systems, and cloud-based services * Explore and apply AI-assisted approaches to improve test creation, increase coverage, and reduce repetitive manual work * Develop, maintain, and improve automated tests using modern frameworks and tools such as Playwright, TestComplete, Claude Code, or similar technologies * Use generative AI and automation techniques to support test generation, regression expansion, test data creation, failure analysis, and test maintenance * Identify unstable or high-maintenance automation and help improve reliability, scalability, and maintainability * Perform functional, regression, integration, exploratory, performance, and risk-based testing * Evaluate software quality, performance, resilience, and scalability across important customer workflows * Partner with engineering teams to identify validation nee
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