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Mid-level QA automation title, metro location, and mid experience increase applicant competition.
Automation skills transfer across industries, but airline safety and AI-testing needs increase specificity.
Explicit 5–7 years and mandatory advanced automation and AI-testing skills make filters strict.
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Own end-to-end testing of complex airline software features ensuring functional and business requirements are met.
Lead design and development of advanced, AI-powered test automation frameworks covering multiple testing disciplines (Selenium, Playwright, API, performance).
Drive defect management and root cause analysis to improve software quality and embed shift-left testing and quality engineering throughout the development lifecycle.
5–7 years of Quality Assurance experience with advanced automation and test strategy expertise.
Bachelor's degree in Computer Science or related field.
Expertise in test automation frameworks and multi-discipline testing including performance and security testing.
Experience with AI-powered testing tools and proven leadership in mentoring and defining test strategies.
Experienced in leading QA efforts in complex, safety-critical or regulatory-compliant airline or high-volume transaction systems.
Strong skills in integrating generative AI tools (e.g., ChatGPT, GitHub Copilot) and AI-driven QA platforms for intelligent test generation and automation.
Ability to strategically embed quality engineering culture and shift-left testing in software development lifecycle.