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QE Engineer (UI and API Automation)

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Summary

Quality engineering automation role in Hyderabad focused on AI-assisted test analysis and design. Day to day: build and maintain automated UI and API test suites in TypeScript and Playwright, run exploratory testing, manage defects, and support release sign-off within Agile sprints and CI/CD workflows.

JOB DESCRIPTION
QE Automation Engineer (UI & API Automation)
TypeScript | Playwright | AI-Assisted Quality Engineering
Role Overview
We are looking for a QE Automation Engineer to strengthen product quality across the testing lifecycle. The role focuses on AI-assisted test analysis and design, automated UI and API testing using TypeScript and Playwright, exploratory testing, defect management, and reliable quality validation within Agile sprints and release workflows.
Key Responsibilities

  • Analyze stories, acceptance criteria, and specifications using AI-assisted tooling to identify test scenarios, coverage gaps, and risks before development begins.
  • Design and author test cases with AI-assisted support, aligned with sprint deliverables and release scope.
  • Build and maintain automated UI and API test coverage in TypeScript and Playwright within each sprint, using AI-assisted workflows for test design, code authoring, and suite maintenance; apply hands-on exploratory testing where it adds coverage that automation alone cannot provide.
  • Report, track, and verify defects through resolution, coordinating with developers and product teams on priority and impact.
  • Keep test case management and automation results in sync, ensuring automated coverage reflects test design and that results accurately represent CI state.
  • Participate in sprint ceremonies as the QE voice for your team.
  • Contribute to release sign-off activities, including stage verification, Allure results review, and release readiness confirmation.
  • Participate in code reviews for automation contributions and contribute reusable components to the shared framework.
  • Monitor automation health and defect trends using AI-powered analysis and raise quality concerns proactively.

Required Technical Skills

  • Solid experience covering the full testing lifecycle: requirements analysis, test design, manual and exploratory testing, defect management, and test automation.
  • Proficiency in TypeScript and hands-on experience with Playwright for UI and API test automation.
  • Experience with test case management platforms such as TestRail or equivalent.
  • Familiarity with test reporting platforms such as Allure or equivalent.
  • Experience working in an AI-assisted development environment such as Cursor, GitHub Copilot, or equivalent.
  • Understanding of AI agent concepts and their practical application across the testing lifecycle.
  • Experience working within CI/CD pipelines and version control systems such as Git.
  • Experience in Agile delivery (Scrum or equivalent) as a QE team member.
  • Strong analytical and problem-solving skills, with the ability to define what needs testing, not just execute what is assigned.
  • Strong collaboration and communication skills across developers, product, and delivery.

AI & Emerging QE Capabilities

  • Use AI-assisted tooling to support test scenario identification, test design, automation code authoring, and suite maintenance.
  • Understand AI agent concepts and how they can be applied across the testing lifecycle.

Good to Have

  • Familiarity with cloud-based cross-browser testing platforms such as LambdaTest or equivalent.
  • Familiarity with cloud secrets management and infrastructure access, such as AWS Secrets Manager or equivalent.
  • Exposure to enterprise SaaS platforms such as ERP, CRM, CMS, or LMS systems in a QE context.
  • Experience with API testing tools such as Postman or equivalent.
  • Familiarity with performance or accessibility testing approaches.
  • Exposure to DevOps practices and automation pipelines.
  • Understanding of modern software architecture patterns such as microservices, REST, and GraphQL.

What Success Looks Like

  • Identify meaningful test scenarios, coverage gaps, and quality risks early in the development lifecycle.
  • Maintain automated UI and API coverage aligned with sprint scope and test design.
  • Keep test management records, automation results, and CI status consistent.
  • Support release readiness through stage verification and review of Allure results.
  • Improve automation health and proactively communicate defect trends and quality concerns.

Skills

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See also

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