Automation Test Engineer (WebdriverIO & Appium)

We are looking for a Senior Automation Engineer with 4–6 years of overall QA experience and 2–4 years of hands-on experience in WebdriverIO (WDIO) using JavaScript/TypeScript and Appium. The ideal candidate should have strong expertise in web and mobile automation, manual testing, API testing, CI/CD pipelines, and Agile methodologies. The candidate should be capable of working independently, proactively clarifying requirements, and delivering high-quality automation solutions.

Key Responsibilities

Design, develop, and maintain automation test scripts using WebdriverIO (WDIO) with JavaScript/TypeScript.

Perform mobile automation testing using Appium for Android and iOS applications.

Execute manual, functional, regression, smoke, sanity, and end-to-end (E2E) testing.

Develop, maintain, and enhance automation frameworks.

Perform web automation and ensure comprehensive test coverage.

Execute REST API testing and validate backend services.

Integrate automation suites with CI/CD pipelines using Jenkins, Azure DevOps, or GitHub Actions.

Analyze test failures, log defects, perform root cause analysis, and work closely with development teams for issue resolution.

Collaborate with Developers, Business Analysts, Product Owners, and QA teams throughout the SDLC.

Participate in Agile ceremonies, provide regular status updates, and proactively clarify requirements.

Follow automation best practices and participate in code reviews.

Required Qualifications & Skills

4–6 years of Software Testing experience.

2–4 years of hands-on experience in WebdriverIO (WDIO) with JavaScript/TypeScript.

Hands-on experience in Appium for mobile automation testing.

Strong experience in Web Automation and Manual Testing.

Good understanding of Functional, Regression, Smoke, Sanity, and End-to-End (E2E) testing.

Experience with REST API Testing.

Experience with CI/CD tools such as Jenkins, Azure DevOps, or GitHub Actions.

Good knowledge of Git and Agile/Scrum methodologies.

Strong analytical, debugging, troubleshooting, and communication skills.

Knowledge of Model Context Protocol (MCP).

Exposure to LLMs such as GPT, Claude, Gemini, or Llama.

Experience with AI-assisted test automation and AI agents.