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Infios

Functional Architect

Test Automation EngineeringUpdated on Nov 14
Full-timeHyderabad, Telangana, IndiaNo salary listedIn-person

About the Job

Requirements

  • At least 8 years of experience in Software Quality Engineering and Test Automation.
  • Strong functional analysis skills and experience testing complex enterprise applications.
  • Hands-on experience with Java, JUnit, Spring Boot, REST APIs, and integration testing.
  • Strong expertise in Playwright and UI automation for modern Single Page Applications.
  • Experience building and maintaining automation frameworks and CI/CD-integrated test suites.
  • Knowledge of test strategy, test data management, regression testing, and release validation.
  • Familiarity with AI-assisted development and testing tools such as Claude and Kiro.
  • Experience working in Agile/Scrum environments.

Responsibilities

  • Develop deep functional expertise in Order Management System workflows, integrations, and business processes.
  • Translate business requirements and user stories into test scenarios covering functional, integration, regression, and end-to-end testing.
  • Define and drive the overall test automation strategy, standards, and roadmap.
  • Design, develop, and maintain UI automation frameworks using Playwright and API test automation solutions.
  • Collaborate with architects, product owners, and developers to ensure effective test planning and coverage.
  • Review and enhance automation suites to improve reliability, scalability, and CI/CD effectiveness.
  • Implement risk-based testing approaches for releases, hotfixes, and production support.
  • Drive adoption of AI-assisted testing tools to improve automation productivity and quality.
  • Analyze defects, identify test coverage gaps, and continuously improve product quality metrics.
  • Define best practices for using AI-assisted development tools such as Claude and Kiro to design test scenarios, generate automated tests, and improve existing test suites.
  • Establish reusable prompt patterns, workflows, and review guidelines to ensure AI-generated tests are functionally correct, meaningful, maintainable, and consistent with engineering standards.
  • Drive workflows that translate user stories and acceptance criteria into test scenarios, generate automated test cases, and integrate them into the existing execution pipeline.
  • Ensure AI-generated tests are reviewed and validated against requirements rather than accepted solely on the basis of successful execution.
  • Measure the impact of AI-assisted testing on test authoring time, automation throughput, coverage, and defect detection.
  • Share effective practices and enable developers to use AI tools consistently across the engineering organization.

About the Company

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