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We are looking for a highly skilled Senior Software Quality Engineer (SDET) to lead our end-to-end quality engineering initiatives across mobile, web, backend, and data platforms. This role combines deep technical expertise with a forward-thinking, AI-first mindset, driving innovation, scalability, and reliability through advanced automation and intelligent testing strategies. As a senior member of the team, you will champion modern, AI-enhanced quality practices and help build a culture where continuous improvement, automation-first thinking, and data-driven decisions are embedded at every stage of product development.
Job Responsibility:
Lead the design, development, and execution of comprehensive test plans and test cases across frontend (web & mobile), backend services, APIs, and databases
Implement industry best practices in manual and automated testing to ensure exceptional product quality, reliability, scalability, and performance
Identify, document, and track software defects and inconsistencies with a data-driven, proactive approach to prevention and continuous improvement
Introduce and operationalize AI-based testing techniques
Integrate AI code analysis, anomaly detection, and observability insights into quality workflows to improve speed, coverage, and accuracy
Evaluate and implement emerging AI-driven QA tools to evolve the quality engineering ecosystem
Champion an AI-first quality culture by promoting experimentation, learning, and collaboration across engineering teams
Design, build, optimize, and maintain scalable automation frameworks using Playwright, Appium, Espresso, XCUITest, REST Assured, and other relevant tools
Integrate automated tests into CI/CD pipelines (Jenkins, GitHub Actions, etc.) to ensure fast, reliable, and safe deployments and releases on both apps(iOS and Android) and services
Build tooling that empowers developers with self-service test execution, reporting, and analysis
Analyze application performance metrics and conduct load, stress, chaos, and security testing
Provide actionable insights to engineering and product teams for performance tuning and system hardening
Lead root cause analysis for complex failures and ensure effective, timely resolutions
Collaborate closely with developers, product managers, DevOps, and design teams to ensure requirements are clearly defined and aligned with business goals
Actively participate in sprint grooming, planning, daily stand-ups, and retrospectives
Mentor junior QA engineers and contribute to building a culture of excellence, innovation, and continuous improvement
Work seamlessly with globally distributed teams and coordinate testing across time zones
Requirements:
4+ years of experience in web and mobile testing, with a strong emphasis on test automation
Proven expertise in designing and maintaining scalable test automation frameworks
Hands-on experience with mobile testing frameworks such as XCUITest (iOS) and Espresso (Android), and web frameworks like Playwright
Strong understanding of testing across microservices, APIs, and distributed systems
Ability to analyze and debug complex test failures, automation issues, and defects efficiently
Familiarity with generative AI applications in quality engineering (test case generation, API contract validation, log intelligence, etc.)
Passion for leveraging AI to reduce manual effort, increase coverage, and accelerate release cycles
Proven experience supporting weekly release cycles with a mix of manual and automated regression testing
Strong analytical, debugging, and problem-solving skills
Experience collaborating with global teams across multiple time zones
BS in Computer Science, Computer Engineering, or equivalent professional experience
Nice to have:
Experience using or implementing AI/ML-powered testing tools is a significant plus
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