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Tier-1 brand, mid-level generalist QA role, and metro location increase candidate density and competition.
Core QA automation skills transfer broadly, but simulation/manufacturing preferences increase domain specificity.
Explicit 5–8 years requirement plus mandatory automation, programming, and CI/CD skills enforces strict filtering.
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Develop and maintain scalable automated test frameworks and suites for simulation software workflows related to injection molding and engineering applications.
Drive AI-assisted testing and intelligent automation strategies to improve test generation, defect analysis, and regression optimization.
Collaborate with global Agile teams to integrate testing into CI/CD pipelines and support release confidence for desktop and cloud-connected engineering products.
Bachelor's or Master's degree in Computer Science, Mechanical Engineering, Plastics Engineering, or related field.
5–8 years of experience in Software QA or Quality Engineering.
Strong programming and automation skills with Python, Java, or similar languages and experience with automation frameworks such as Selenium, Playwright, or Cypress.
Experience with testing desktop applications, APIs, engineering software, and familiarity with CI/CD tools (e.g., Jenkins, GitHub Actions, Azure DevOps).
Experience with simulation software, specifically Autodesk Moldflow or similar CAE/simulation platforms, and knowledge of injection molding or plastics engineering workflows.
Proven ability to implement AI-driven testing and intelligent automation initiatives within software QA contexts.
Track record of enhancing automation reliability, scalability, and integration into continuous testing environments within Agile teams.