Autodesk

Technology

SeniorSoftwareQAEngineer

₹22–35L ~AI est. Bengaluru, India FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“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.

Technology
Problems you'll solve

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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