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.