Senior Engineer - Quality Assurance

Overview

Lead quality assurance for Accelya's airline software platform, defining test strategies, implementing advanced automation frameworks and mentoring QA engineers to drive continuous quality improvement.

What you'll do

• Define and implement comprehensive test strategies covering all testing disciplines for complex airline software features
• Lead the design and development of advanced test automation frameworks (Selenium, Cypress, API, performance testing)
• Implement AI-powered testing capabilities (Testim AI, Mabl, Applitools) that improve test coverage, stability and efficiency
• Lead defect management, performing deep root cause analysis and working with engineering on systemic quality improvements
• Embed quality practices throughout the SDLC, championing shift-left testing and quality engineering culture
• Mentor junior QA engineers and build test automation capability across the team
• Report on quality metrics, test coverage and automation ROI to engineering leadership

What you'll need

• 5–7 years of QA experience with advanced automation and test strategy expertise
• Expert test automation skills across multiple frameworks and testing types
• Experience with AI-powered testing tools and performance/security testing
• Proven mentoring and test strategy leadership capability
• Bachelor's degree in Computer Science or related

Nice to have

• ISTQB Advanced or Expert certification
• Strong experience with AI-powered QA platforms for intelligent test generation, self-healing automation and AI-driven defect prediction
• Expert use of generative AI (Claude, ChatGPT, GitHub Copilot) for test strategy documentation, automation framework design and quality reports
• Deep knowledge of quality practices for airline software, including safety-critical testing, regulatory compliance and performance testing for high-volume airline transaction systems
• Understanding of how AI is transforming QA, including autonomous testing, AI-managed test suites and the evolving role of QA engineers in AI-augmented delivery

Details

• Location: India, Pune COE
• Hybrid remote/office working environment (smart working)
• Flexible working hours