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What skills will future QA engineers need?

• AI and ML Literacy: Understanding fundamentals of machine learning algorithms, natural language processing and model validation to collaborate on AI-driven testing tools and validate their outputs.

• Automation Framework Expertise: Proficiency in script-based and codeless automation platforms (e.g., Selenium, Cypress, Test.ai) and experience integrating tests into CI/CD pipelines.

• DevOps and Shift-Left Testing: Ability to work within DevOps toolchains (Jenkins, GitLab CI) and embed testing earlier in the development lifecycle to catch defects sooner.

• Security and Privacy Testing: Familiarity with OWASP Top 10, penetration testing techniques and data masking strategies to safeguard sensitive information during automated and manual test cycles.

• Data Analysis and Metrics: Skill in analyzing test coverage, defect trends and performance metrics using BI tools (e.g., Tableau, Power BI) to drive continuous improvement.

• Collaboration and Communication: Strong cross-functional teamwork abilities, clear reporting of test results and alignment with product managers, developers and operations for faster feedback loops.

• Adaptability and Continuous Learning: Willingness to adopt new tools, frameworks and methodologies quickly, supported by participation in online courses, hackathons and QA communities.

The Future of QA Engineering

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