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First seen by Alion on Nov 13, 2026. KPMG scores B on the Alion truth index.

Overview
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Profile match
KPMG is a global professional services network headquartered in Amstelveen, Netherlands, and formed in 1987 through the merger of Peat Marwick International and Klynveld Main Goerdeler. The network provides audit and assurance, tax, and advisory services including deal advisory, risk consulting, and technology implementation. It is one of the Big Four accounting organisations, operating as a cooperative of legally separate member firms in more than 140 countries.
Backed by Dozen

Job Description:


Job Summary:


The Automation QA Assistant Manager supports the QA Manager in leading the automation testing efforts across software development projects. This role ensures the delivery of high-quality software through the implementation of automated testing strategies, tools, and frameworks. The position involves team coordination, test planning, and hands-on scripting, with a focus on continuous improvement and efficiency.


Responsibilities:

  • Automation Strategy & Execution: Design, develop, and maintain automated test scripts using tools like Selenium, Playwright, UFT, or Cypress.
  • Implement and manage test automation frameworks and CI/CD pipelines.
  • Ensure test coverage across functional, regression, and performance testing.
  • Team Leadership & Collaboration: Mentor and guide junior QA engineers in automation best practices.
  • Collaborate with developers, product managers, and other stakeholders to define test strategies.
  • Assist in resource planning and task allocation within the QA team.
  • Quality Assurance Oversight: Review test plans, test cases, and test scripts for accuracy and completeness.
  • Monitor and report on test execution, defect tracking, and quality metrics.
  • Participate in root cause analysis and continuous improvement initiatives.
  • Process & Compliance: Ensure adherence to QA standards, policies, and procedures.
  • Support audits and compliance checks related to software quality.
  • AI-Driven Testing: AI and ML are being used to create predictive test cases, identify high-risk areas, and optimize test coverage.
  • Tools now offer self-healing scripts that automatically adapt to UI changes.
  • Codeless Test Automation: Codeless platforms allow testers to create test cases using drag-and-drop interfaces or natural language, reducing the need for programming skills.
  • Supports remote collaboration, parallel testing, and on-demand environments.
  • Continuous Testing in CI/CD: Testing is now integrated throughout the development lifecycle, not just at the end.
  • Emphasis on real-time feedback, risk-based testing, and automated quality gates in CI/CD pipelines.
  • API Testing: With the rise of microservices, contract testing, service virtualization, and API-first testing are becoming essential.

Skills

Automation, CI / CD, Cypress, Playwright, Selenium, UFT

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