Senior Software Quality Engineer in an Agile team focused on delivering high-quality products using manual, automation, and AI/ML technologies to enhance software testing.
Responsibilities
Plan, design, and execute manual and automated test cases based on requirements, user stories, and acceptance criteria.
Develop and maintain test automation frameworks across UI and API platforms.
Perform API testing using tools like Postman, RestAssured, or similar.
Develop and maintain performance testing using tools such as JMeter, Gatling, or LoadRunner; analyze performance metrics and suggest improvements.
Apply AI/ML technologies techniques to improve testing practices, such as: AI-assisted test case generation, Test impact analysis, Intelligent test prioritization, Self-healing automation scripts, Predictive defect analysis.
Collaborate with developers, product owners, and business analysts in Agile ceremonies including sprint planning, reviews, and retrospectives.
Contribute to and enforce quality best practices, including shift-left testing and test strategy planning.
Investigate, debug, and triage issues; perform root cause analysis and track defect trends.
Continuously explore and evaluate new tools and techniques to optimize test coverage and cycle time.
Requirements
3+ years in QC with expertise in manual, automation, API, and performance testing.
Hands-on experience with tools like Selenium, Playwright, JMeter, and Postman.
Proficient in scripting/programming languages like Python, Java, or JavaScript.
Working knowledge of AI/ML concepts, especially as applied to testing (e.g., pattern detection, test impact analysis).
Experience using or evaluating AI-based testing tools or frameworks.
Solid understanding of Agile/Scrum practices and CI/CD pipelines.
Strong analytical, debugging, and problem-solving skills.
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